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Hello @Chithra P I hope you are doing well, i was going to responde you in the other thread but dont worry , this info might help you.

this is the official guide @Chithra P take a look https://azure.microsoft.com/en-gb/pricing/details/document-intelligence/

Azure Document Intelligence operates on a consumption-based (pay-as-you-go) pricing model. Your total cost is determined by two main factors: the specific AI model you choose to invoke and the total number of pages processed per month.

Pricing Structure Breakdown

Free Tier (F0): Excellent for proof-of-concept testing. You receive an allowance of 500 pages per month for free, but it is strictly limited to processing only the first 2 pages of any given document and a maximum file size of 4 MB.

Read Model (OCR only): The most cost-effective tier, designed for simple text extraction without complex structural understanding. It costs roughly $1.50 per 1,000 pages.

Layout & Prebuilt Models: Used for extracting structure (tables, checkboxes) or leveraging domain-specific models trained by Microsoft (Invoices, Receipts, IDs, W-2s, etc.). This tier costs approximately $10.00 per 1,000 pages.

Custom Models: Used when you need to train the AI on your own highly specialized document templates. Custom Extraction is generally billed at $30.00 per 1,000 pages.

(Note: Training a custom model is completely free; you are only charged for inference when you analyze documents against that model. Additionally, using advanced add-ons like barcode extraction or high-resolution scanning will increase the base unit price of your chosen model.)

Charges are calculated per 1,000 pages processed or per transaction, depending on the model:

Model type Main function Approx. price (per 1,000 pages) Notes
Detects text and table structure ~US $15–20 Best for generic documents
-------- -------- --------
Layout Detects text and table structure ~US $15–20 Best for generic documents
Prebuilt models (Receipts, Business Cards, IDs) Extracts data from common document types ~US $100–110 Specialized OCR
Custom Classification Classifies documents by type ~US $30–35 Requires training
Custom Extraction Extracts specific fields/values ~US $300–310 For invoices, contracts, forms
Generative Extraction Advanced AI-driven extraction ~US $305–310 Region availability varies
Model training Cost per training hour ~US $30–35/hour Applies only to custom models

Free tier: up to 500 pages/month at no cost. Volume discounts: available for high usage with commitment tiers.

  • Region: prices vary by currency and subscription type (Commercial, Government, CSP).
  • Exchange rates: Azure uses London FX rates two days before month-end.
  • Contract type: Pay‑As‑You‑Go, Enterprise Agreement, or CSP may have different rates.
  • Azure AI Document Intelligence pricing — Microsoft Learn
  • Azure Pricing Calculator — estimate costs for your region and workload
  • Custom Field Extraction overview
  • https://www.youtube.com/watch?v=LzwblkdxdRw

If my answer helped you resolve your issue, please consider marking it as the correct answer. This helps others in the community find solutions more easily. Thanks!

Answer from Jose Benjamin Solis Nolasco on learn.microsoft.com
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Microsoft Azure
azure.microsoft.com › en-us › pricing › details › document-intelligence
Pricing - Azure Document Intelligence in Foundry Tools | Microsoft Azure
US government entities are eligible to purchase Azure Government services from a licensing solution provider with no upfront financial commitment, or directly through a pay-as-you-go online subscription. ... Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued. Document Intelligence classifies documents, extracts fields or key value pairs and structure like tables, selection marks from documents and forms.
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Welcome to Microsoft Q&A

Hello @Chithra P I hope you are doing well, i was going to responde you in the other thread but dont worry , this info might help you.

this is the official guide @Chithra P take a look https://azure.microsoft.com/en-gb/pricing/details/document-intelligence/

Azure Document Intelligence operates on a consumption-based (pay-as-you-go) pricing model. Your total cost is determined by two main factors: the specific AI model you choose to invoke and the total number of pages processed per month.

Pricing Structure Breakdown

Free Tier (F0): Excellent for proof-of-concept testing. You receive an allowance of 500 pages per month for free, but it is strictly limited to processing only the first 2 pages of any given document and a maximum file size of 4 MB.

Read Model (OCR only): The most cost-effective tier, designed for simple text extraction without complex structural understanding. It costs roughly $1.50 per 1,000 pages.

Layout & Prebuilt Models: Used for extracting structure (tables, checkboxes) or leveraging domain-specific models trained by Microsoft (Invoices, Receipts, IDs, W-2s, etc.). This tier costs approximately $10.00 per 1,000 pages.

Custom Models: Used when you need to train the AI on your own highly specialized document templates. Custom Extraction is generally billed at $30.00 per 1,000 pages.

(Note: Training a custom model is completely free; you are only charged for inference when you analyze documents against that model. Additionally, using advanced add-ons like barcode extraction or high-resolution scanning will increase the base unit price of your chosen model.)

Charges are calculated per 1,000 pages processed or per transaction, depending on the model:

Model type Main function Approx. price (per 1,000 pages) Notes
Detects text and table structure ~US $15–20 Best for generic documents
-------- -------- --------
Layout Detects text and table structure ~US $15–20 Best for generic documents
Prebuilt models (Receipts, Business Cards, IDs) Extracts data from common document types ~US $100–110 Specialized OCR
Custom Classification Classifies documents by type ~US $30–35 Requires training
Custom Extraction Extracts specific fields/values ~US $300–310 For invoices, contracts, forms
Generative Extraction Advanced AI-driven extraction ~US $305–310 Region availability varies
Model training Cost per training hour ~US $30–35/hour Applies only to custom models

Free tier: up to 500 pages/month at no cost. Volume discounts: available for high usage with commitment tiers.

  • Region: prices vary by currency and subscription type (Commercial, Government, CSP).
  • Exchange rates: Azure uses London FX rates two days before month-end.
  • Contract type: Pay‑As‑You‑Go, Enterprise Agreement, or CSP may have different rates.
  • Azure AI Document Intelligence pricing — Microsoft Learn
  • Azure Pricing Calculator — estimate costs for your region and workload
  • Custom Field Extraction overview
  • https://www.youtube.com/watch?v=LzwblkdxdRw

If my answer helped you resolve your issue, please consider marking it as the correct answer. This helps others in the community find solutions more easily. Thanks!

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Hello @Chithra P

Thank you for your question regarding Azure AI Document Intelligence pricing.

Azure AI Document Intelligence is a consumption-based service, and billing is primarily calculated based on the number of pages processed. The exact cost depends on the feature or model used (such as prebuilt models, custom extraction models, classification models, or other advanced capabilities), as each feature may have a different pricing rate.

How Azure AI Document Intelligence Pricing Works

Azure AI Document Intelligence offers two pricing options:

  • Pay-As-You-Go (PAYG) – You are billed based on the actual number of pages processed.
  • Commitment Tiers – Designed for higher-volume workloads, providing discounted pricing in exchange for committing to a monthly usage volume.

Estimating Your Usage and Costs

To determine your monthly consumption:

  1. Navigate to your Azure AI Document Intelligence resource in the Azure portal.
  2. Select Monitoring > Metrics.
  3. Choose the Processed Pages metric.
  4. Under Values, select Apply Splitting and choose FeatureName.
  5. Review the number of pages processed for each feature.
  6. Multiply the page count by the corresponding unit price listed on the official pricing page.

This provides the most accurate estimate of your monthly costs.

If you are using the Free (F0) tier:

  • Up to 500 pages per month can be processed at no charge.
  • Once the free limit is reached, additional processing requires upgrading to a paid tier such as Standard (S0).

Commitment Tier Considerations

If your workload involves large document volumes (for example, tens of thousands of pages per month), Commitment Tiers may offer better cost efficiency than Pay-As-You-Go pricing.

If you notice higher-than-expected costs:

  • Review the Processed Pages metric to identify usage trends.
  • Check whether additional features or models were used.
  • Use Azure Cost Management + Billing to analyze charges by resource and service.
  • Review Azure Monitor metrics for any unusual spikes in document processing activity.

Please refer to:

Azure AI Document Intelligence pricing explainer source link (pricing page referenced in doc): https://azure.microsoft.com/pricing/details/ai-document-intelligence/

Azure AI Document Intelligence service limits (referenced in doc): https://learn.microsoft.com/azure/ai-services/document-intelligence/service-limits

Quickstart: Purchase commitment tier pricing: https://learn.microsoft.com/azure/cognitive-services/commitment-tier

Pricing for Azure Content Understanding in Foundry Tools (example context referenced): https://learn.microsoft.com/azure/ai-services/content-understanding/pricing-explainer?wt.mc_id=knowledgesearch_inproduct_azure-cxp-community-insider#pricing-example-invoice-field-extraction

“What is Azure Document Intelligence in Foundry Tools?” (context for analysis features/premium features):

https://learn.microsoft.com/azure/ai-services/document-intelligence/overview?view=doc-intel-4.0.0&wt.mc_id=knowledgesearch_inproduct_azure-cxp-community-insider#analysis-features

I Hope this helps. Do let me know if you have any further queries.


If this answers your query, please do click Accept Answer and Yes for was this answer helpful.

Thank you!

Discussions

What is the cost of document intellegence service with form recognizer
Azure Document Intelligence pricing varies depending on what you're using. The service offers both Pay-as-You-Go and Commitment Tiers payment options, and prices are typically based on the number of pages processed. More on learn.microsoft.com
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December 16, 2025
How is Azure Document Intelligence priced
How is Azure Document Intelligence priced, what are the modules and what is the subscription to process 50,000 pages per year. More on learn.microsoft.com
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October 21, 2025
AI Document Extraction on Azure - Options, Comparison & Recommendations for Invoice/Contract Processing
I’m not familiar with the dev side but we use a hybrid approach, DI for as much as possible. But since some documents have stamps or notes on them we fallback to OAI for that. More on reddit.com
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December 18, 2025
Pricing - Azure Document Intelligence Service
Could you please provide clarification on how the pricing for the Azure Document Intelligence service is applied considering the following usage for (S0 - Web/Container) instance and read (prebuilt-read) SKU: Month 1 - 1 million pages Month 2 - 0.25… More on learn.microsoft.com
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People also ask

How is Azure Document Intelligence priced?
Azure Document Intelligence is priced per page analyzed, billed monthly, with the rate set by the model you call rather than by a plan you pick. A page is one side of a document, so a 10-page PDF through Layout counts as 10 pages. Word and HTML files are counted in 3,000-character blocks per page, each Excel worksheet counts as one page, and each PowerPoint slide counts as one page. There is no subscription and no minimum spend on pay-as-you-go, so a month with zero traffic costs zero.
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docuocr.com
docuocr.com › home › blog › azure document intelligence pricing 2026: official rates per 1,000 pages
Azure AI Document Intelligence Pricing 2026 (Official) | DocuOCR
How much does Azure Document Intelligence cost?
As of October 24, 2026, Azure Document Intelligence is pay per page with no subscription. Read (OCR) is $1.50 per 1,000 pages up to 1 million, every prebuilt model (invoice, receipt, ID, W-2, contract, layout and others) is $10 per 1,000 pages, custom classification is $3, and custom extraction is $30. A practice processing about 5,000 invoice, receipt and statement pages a month pays roughly $70.
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superdupr.com
superdupr.com › home › blog › ai document processing › azure document intelligence pricing 2026: per-page rates, the free tier, commitment tiers and a real monthly bill
Azure Document Intelligence Pricing 2026: Per-Page Rates, the Free ...
How much does Azure AI Document Intelligence cost?
Azure AI Document Intelligence starts at $1.50 per 1,000 pages (Read/OCR); $10 per 1,000 prebuilt; $30 per 1,000 custom. Azure AI Document Intelligence publishes official per-page rates: $1.50 per 1,000 pages for the Read OCR model, about $10 per 1,000 for prebuilt models such as invoice and receipt, and $30 per 1,000 for custom extraction. It sits between Google Document AI and Amazon Textract on prebuilt invoice work. The usual deciding factor is not price but which cloud your data already sits in, since egress and identity integration dominate the difference at realistic volumes.
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erpresearch.com
erpresearch.com › home › erp add-ons › invoice & document ocr › azure ai document intelligence › pricing
Azure AI Document Intelligence Pricing 2026: From $1.50 | ERP Research
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Parsli
parsli.co › home › compare › azure document intelligence
Azure Document Intelligence Pricing 2026: Is It Worth It? (We Tested It) | Parsli
August 7, 2026 - We ran 13 documents through Azure Document Intelligence and Parsli side by side. Full 2026 pricing across Read, Prebuilt and Custom SKUs — plus the four input conditions where Azure's output silently breaks.
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Hello Naveen Kumar, K Krishna,

Welcome to Microsoft Q&A and Thank you for reaching out.

I understand that you're trying to sort out the pricing for the Document Intelligence service with Form Recognizer, particularly if you're being charged 10 for processing 1,000 pages. Here's how it generally works:

Azure Document Intelligence pricing varies depending on what you're using. The service offers both Pay-as-You-Go and Commitment Tiers payment options, and prices are typically based on the number of pages processed. According to the pricing information, you might be seeing different rates based on the feature or model you're using.

  1. For Azure Document Intelligence, pricing is per page processed, and the cost depends on which capability is being used. The ~$1.50 per 1,000 pages price applies only to basic OCR (Read) scenarios. This includes:
    • Plain text recognition
    • Basic layout extraction
    • No structured fields, key-value pairs, or semantic document understanding
    This pricing corresponds to the Read model, not full document analysis. Although it’s sometimes assumed that all prebuilt models fall under the $1.50 tier, that rate does not apply when using full document analysis features. The $1.50 pricing is strictly for OCR-only extraction, not for structured or semantic processing.
  2. Prebuilt document analysis – ~$10 per 1,000 pages When you use any of the following:
    • prebuilt-document
    • prebuilt-invoice
    • prebuilt-receipt
    • prebuilt-idDocument
    • prebuilt-layout (with structured output)
    the service performs full document analysis, not just text extraction. This includes:
    • Key-value pair detection
    • Table extraction
    • Structured and semantic document understanding
    Because prebuilt-document:analyze falls into this category, it is billed at ~$10 per 1,000 pages.

Custom models

Pricing is higher for custom intelligence:

  • Custom classification: ~ $10 per 1,000 pages
  • Custom extraction: typically ~ $30 per 1,000 pages

Model training is billed separately from inference.

To clarify exactly what you're being charged, you can check your usage directly from the Azure Portal:

  1. Go to your Document Intelligence resource.
  2. Navigate to the Metrics tab under the Monitoring section.
  3. Look at the Processed pages metric; apply any necessary splits to dive deeper into what service is incurring costs.

You can calculate your costs by multiplying the processed pages by the unit price of each feature, which can be verified on the Azure AI Document Intelligence pricing page.
Also please refer this

Document Intelligence Metrics in Azure Portal

Check usage and estimate cost

I Hope this helps. Do let me know if you have any further queries.


If this answers your query, please do click Accept Answer and Yes for was this answer helpful.

Thank you!

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DocuOCR
docuocr.com › home › blog › azure document intelligence pricing 2026: official rates per 1,000 pages
Azure AI Document Intelligence Pricing 2026 (Official) | DocuOCR
July 25, 2026 - Azure Document Intelligence pricing, verified July 2026: $1.50 per 1,000 pages for Read OCR, $10 prebuilt, $30 custom extraction, plus the commitment tier rates.
Find elsewhere
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Microsoft Azure
azure.microsoft.com › en-in › pricing › details › document-intelligence
Pricing - Form Recognizer API | Microsoft Azure
Important—The price in R$ is merely a reference; this is an international transaction and the final price is subject to exchange rates and the inclusion of IOF taxes. An eNF will not be issued. Form Recognizer extracts key value pairs and tables from documents and includes the following options: Customised Field Extraction – Document Intelligence learns the structure of your documents (invoices, contracts, statements, industry specific records) to intelligently extract fields, text and data.
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ERP Research
erpresearch.com › home › erp add-ons › invoice & document ocr › azure ai document intelligence › pricing
Azure AI Document Intelligence Pricing 2026: From $1.50 | ERP Research
Azure AI Document Intelligence publishes a starting price ($1.50 per 1,000 pages (Read/OCR); $10 per 1,000 prebuilt; $30 per 1,000 custom) but not a per-user rate, so there is no seat arithmetic to run.
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Star Nova AI
starnovai.com › home › azure ai consulting › document intelligence pricing
Azure AI Document Intelligence Pricing 2026 | Star Nova AI
All figures are current US East baseline; check the live Azure pricing page for your region before signing a commitment. ... Yes. The F0 free tier gives you 500 pages per month for evaluation, plus the first 500 documents of custom-model training labels. Production workloads must use S0 (standard).
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PayablesAgent
payablesagent.ai › home › blog › azure document intelligence pricing and form recognizer cost
Azure Document Intelligence Pricing and Form Recognizer Cost | PayablesAgent
1 week ago - On the prebuilt Invoice model, Azure Document Intelligence costs $0.01 per invoice page. A one-page invoice costs one cent, a three-page invoice three cents. If you add query fields to capture a job number or a PO reference the standard model ...
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Hi Chris,

Azure Document Intelligence uses a pay-as-you-go model based on the number of pages you process. The pricing tiers differ based on the features you need, which is why understanding the modules is key.

The service is structured around two main types of models:

Prebuilt Models: These are ready-to-use for common documents like invoices, receipts, ID cards, and general layouts. You are charged per page.

Custom Models: You can train these on your own document types for higher accuracy. There's a cost for training the model and a separate, usually lower, cost for analyzing pages with it.

For your specific case of 50,000 pages per year, here's my recommendation:

I suggest using the General Document prebuilt model (part of the "Read" and "Layout" functionality). It's a great, cost-effective starting point for most text and structure extraction needs.

At the S0 pricing tier, this model costs $1.25 per 100 pages.

For 50,000 pages, your estimated annual cost would be: (50,000 / 100) * $1.25 = $625.

There is no separate "subscription" fee; you would just pay for what you use, and this usage would be billed monthly. If your documents are more complex (like invoices where you need to extract specific fields like InvoiceTotal), you would use the specialized prebuilt Invoice model, which is priced higher.

If you have a more consistent, predictable monthly usage, you could consider an Azure savings plan for compute to reduce costs, but for your volume, pay-as-you-go is likely the most straightforward.

Please click Accept Answer if this was helpful.

rgds,

Alex

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Hello Chris Howard,

Welcome to Microsoft q&a, and thanks for posting your question.

Azure Document Intelligence uses a pay-as-you-go model based on the number of pages you process.

  1. Billing Type: Pay-as-you-go (no fixed subscription fee).
  2. Unit of Billing: Number of pages processed.
  3. Pricing Tiers:
    • Prebuilt Models (e.g., invoices, receipts, ID cards): Charged per page.
    • Custom Models:
    • Training cost (per hour).
    • Lower per-page cost for analysis after training.
  4. Example Calculation: At S0 tier, General Document model costs about $1.25 per 100 pages. For 50,000 pages/year:
    (50,000 / 100) * $1.25 = $625 annually No separate subscription fee: usage is billed monthly.
  5. References documents:
  • Azure AI Document Intelligence Pricing Detail
  • Estimate Cost Using Metrics Dashboard
  • Service Quotas and Limits

I hope this clears things up! If this guidance resolves your concern, please consider accepting the answer so other community members exploring production scenarios with Content Understanding can benefit from it as well.

Thankyou!

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Microsoft Learn
learn.microsoft.com › en-us › azure › ai-services › document-intelligence › how-to-guides › estimate-cost
Check my usage and estimate the cost - Document Intelligence - Foundry Tools | Microsoft Learn
May 21, 2026 - For more information, see Azure Document Intelligence pricing options. Enter the number of pages processed from the Azure portal metrics dashboard. That data can be found using the steps in sections Check how many pages are processed or Examine analyzed pages. The estimated price is on the ...
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ReviewRamble
reviewramble.com › ai tools › developer platforms › azure document intelligence
Azure Document Intelligence review (updated)
5 days ago - Pay-as-you-go prices in East US are $1.50 per 1,000 pages for Read (falling to $0.60 after the first million pages a month), $10 for Layout and prebuilt models, $30 for custom extraction and $3 for custom classification.
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Microsoft Azure
azure.cn › en-us › pricing › details › form-recognizer
Azure AI Document Intelligence pricing
Pricing details for Azure AI Document Intelligence, a text and data extraction API from Azure Cognitive Services. Pay for the plan that best fits your needs.
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Reddit
reddit.com › r/azure › ai document extraction on azure - options, comparison & recommendations for invoice/contract processing
r/AZURE on Reddit: AI Document Extraction on Azure - Options, Comparison & Recommendations for Invoice/Contract Processing
December 18, 2025 -

Hey everyone,

I'm working on an application that uses AI to extract structured data from commercial documents - invoices, contracts, purchase orders, that kind of stuff. I've been testing Claude and Google's multimodal models and they work really well for this use case.

However, I need to evaluate what Azure offers since that's our cloud environment or what other options could be considered. After digging into it, I found there are basically two main paths:

1. Azure Document Intelligence (formerly Form Recognizer)

This is their dedicated document processing service. It has prebuilt models for invoices, receipts, contracts, tax forms, etc. Pricing is around $10/1,000 pages for prebuilt models, $30/1,000 for custom extraction. Seems very accurate for structured documents and returns proper JSON with confidence scores and bounding boxes.

2. Azure OpenAI with GPT-4o Vision

Send document images directly to GPT-4o, use prompt engineering to define extraction schema, and use Structured Outputs for guaranteed JSON compliance. More flexible but apparently more expensive (~$0.05-0.07/page) and potentially less accurate on complex tables.

3. Hybrid approach

Microsoft's own samples show using Document Intelligence Layout model to convert PDFs to Markdown first, then feeding that to GPT-4o for the actual extraction. Supposedly gives you the best of both worlds - accurate OCR + flexible schema extraction.

My questions for those who've built similar systems:

  • If you're using Azure, which approach did you go with? How's the accuracy and cost working out in production?

  • For those using Document Intelligence prebuilt models - how well do they handle non-standard invoice formats or documents in multiple languages? Do you end up needing custom models anyway?

  • Anyone tried the hybrid approach (Doc Intelligence + GPT-4o)? Is the added complexity worth it vs just using GPT-4o directly on images?

  • How does Azure Document Intelligence compare to Claude or Google Document AI in your experience? I've had good results with Claude's vision capabilities but wondering if a specialized service like Document Intelligence would be more reliable at scale.

  • For high volume processing (let's say 50k+ pages/month) - what's been most cost-effective?

  • Any gotchas or lessons learned you wish you knew before starting?

Would really appreciate hearing about real-world experiences. Most of what I've found is marketing material or basic tutorials, not much on how these solutions hold up in production with messy real-world documents.

Thanks!

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I’m not familiar with the dev side but we use a hybrid approach, DI for as much as possible. But since some documents have stamps or notes on them we fallback to OAI for that.
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We basically do #3, but use gpt-5.2 or whatever better model, not 4o. We're not overly concerned about cost because we're doing a one-time ingestion, not offering a service or something. Q&A... > If you're using Azure, which approach did you go with? How's the accuracy and cost working out in production? Like I said, #3. > For those using Document Intelligence prebuilt models - how well do they handle non-standard invoice formats or documents in multiple languages? Do you end up needing custom models anyway? We just use the layout model to get markdown and it does just fine. The second-phase OpenAI models do quite well at "figuring it out" from the markdown. When I did this with GPT-4o it did fine and the reasoning models just made it even better. No custom models. Our documents were in multiple languages, no issues. You can even answer in English if the documents are in another language. > Anyone tried the hybrid approach (Doc Intelligence + GPT-4o)? Is the added complexity worth it vs just using GPT-4o directly on images? I did extensive testing on this. DocIntel Layout + LLM was the best. The input file matters, see the last answer. > How does Azure Document Intelligence compare to Claude or Google Document AI in your experience? I've had good results with Claude's vision capabilities but wondering if a specialized service like Document Intelligence would be more reliable at scale. Haven't tried it, but I'll say DocIntel had no problem scaling to our ~2.6M pages of burst ingestion when we needed it. It did that in like 12 hours. We bought the pre-paid quantity for a discount on the first month to deal with the initial burst of pages. > For high volume processing (let's say 50k+ pages/month) - what's been most cost-effective? For us it's consistency and simplicity. I don't think you'll get cheaper than DocIntel + LLM if your documents are varied. I tried all kinds of other things like `docling` and `markitdown`, it just doesn't compare to DocIntel's Layout model. My cost modeling was even back with 4o that to process our documents it was an order of magnitude more expensive to just have the LLM do everything, versus use DocIntel to get Markdown, then the LLM to do the extraction. > Any gotchas or lessons learned you wish you knew before starting? So many... FLATTEN YOUR DOCUMENTS TO PDF BEFORE THEY GO TO DOCINTEL, IT MATTERS. We were ingesting a large quantity of Microsoft Word documents and what we quickly realized is Word features are invisible to DocIntel. Things like numbered bullets, table of contents, footnotes, header/footer, pretty much anything "dynamic" was apparently just a markup in the document that is rended when opened by Word. Like bullet "3.1.2" is really just a marker for "[Ordered List Bullet Level 3]", so the markdown output never had "3.1.2" in it, so if you need to understand "what step does XYZ happen in", you'd never get a step number. When DocIntel cracks the .docx open it just parses the XML and doesn't account for those things. When you take the same document and save it as a PDF using Word it "flattens" or "hard codes" everything. Taking that PDF to DocIntel you'll get much better results. Want to test yourself? Feed a docx through DocIntel save the markdown as "Test-Alpha.md", save the docx as a PDF, and feed that PDF through DocIntel and save the markdown as "Test-Beta.md" and then give them both to ChatGPT and ask it to "compare and contrast the files from a missing data or context standpoint that would be useful to have when having AI analyze these documents". It's going to tell you Test-Beta has way more formatting. So how do you do this flattening en masse? I wrote a janky python script that uses the Word COM-style calls to open the docx in an invisible window and save it as a PDF. There is another option to upload it to OneDrive and download the PDF, but I haven't tested if this is the same. If you think you will ever need to use that DocIntel output again, save the .json somewhere and save yourself the cost of a repeated conversion. There's a lot of cool stuff in there with bounding boxes and image figures and stuff.
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Aliteq
aliteq.com › home › ai automation for business › document ai pricing per page: azure vs aws textract vs google, at 1,000 to 100,000 pages
Document AI Pricing per Page: Azure vs AWS Textract vs Google, at 1,000 to 100,000 Pages
1 month ago - Invoices: Azure and AWS $10 per 1,000 pages, Google $0.10 per document of up to 10 pages · No tier break below 1M pages a month on AWS and Azure (5M for Google OCR), so list price is what you pay · Intelligent document processing sounds like ...
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Tutorials Dojo
tutorialsdojo.com › home › azure › azure document intelligence
Azure Document Intelligence
June 23, 2026 - Priced per page processed for document text recognition and layout extraction. ... Free Tier: Azure Document Intelligence offers a free tier with a limited number of pages processed per month, which is ideal for small-scale testing or development.
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AI:PRODUCTIVITY
aiproductivity.ai › home › tools › automation › azure document intelligence review
Azure Document Intelligence Review 2026: Automation Verdict
2 weeks ago - Azure Document Intelligence review 2026: rated 3.9/5, free tier. See how prebuilt models automate invoice and contract OCR for Microsoft Azure.
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TrustRadius
trustradius.com › home › intelligent document processing › azure ai document intelligence › pricing
Azure AI Document Intelligence Pricing 2026
Azure AI Document Intelligence does not currently have any pricing plans listed at this time. For the latest pricing information, visit the product's homepage. Available deployment types include saas.