Data as of Sep 9, 2026 · Based on 16 AI responses · Shares cover the last 30 days · See how Parse measures this
Google now leads the AI document extraction space, representative of a broader shift where major cloud platforms are increasingly displacing specialized tools. This consolidation is most visible in general-purpose queries, while dedicated invoice processing remains a more fragmented and competitive field.
AI Document Data Extraction Software
Parse
https://parse.gl
| # | 30d | Brand | What AI says | Mention rate |
|---|---|---|---|---|
| 1 | 69% | |||
| 2 | An enterprise-grade service highlighted for its integration into the Microsoft and Azure ecosystem. | 69% | ||
| 3 | +2 | A fast-rising solution, recognized for AI-powered invoice automation and custom model training. | 50% | |
| 4 | -1 | Frequently suggested for developers needing a scalable, API-driven service for table extraction. | 44% | |
| 5 | +8 | A notable new entrant specializing in structured data extraction from financial documents. | 44% | |
| 6 | +17 | 38% | ||
| 7 | -3 | 38% | ||
| 8 | 31% | |||
| 9 | 25% | |||
| 10 | +30 | 19% | ||
| 11 | +3 | 19% | ||
| 12 | +15 | 19% | ||
| 13 | -3 | 19% | ||
| 14 | 19% | |||
| 15 | -9 | Frequently mentioned for its AI that processes invoices without requiring predefined templates. | 19% | |
| 16 | 19% | |||
| 17 | -10 | A long-standing enterprise solution, frequently cited for high-accuracy invoice and document processing. | 13% | |
| 18 | 13% | |||
| 19 | +1 | 13% | ||
| 20 | 13% | |||
| 21 | 13% | |||
| 22 | -7 | 13% | ||
| 23 | 13% | |||
| 24 | 6% | |||
| 25 | 6% |
docsumo.com is the most-cited source here, appearing in 50% of analyzed answers.
Jumped from rank #30 to #7 between October and March.
“A legacy enterprise OCR tool” → “A modern intelligent document processing (IDP) platform”
Rose from rank #8 in October to #1 by March across the market.
Across 16 AI responses, Google Cloud Document AI is mentioned most, named in 69% of them, followed by Azure AI Document Intelligence (69%) and Nanonets (50%).
Parse measures each brand's mention rate — the share of answers naming it — across 16 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Data as of Sep 9, 2026 · Based on 16 AI responses · Shares cover the last 30 days · See how Parse measures this
Google now leads the AI document extraction space, representative of a broader shift where major cloud platforms are increasingly displacing specialized tools. This consolidation is most visible in general-purpose queries, while dedicated invoice processing remains a more fragmented and competitive field.
AI Document Data Extraction Software
| # | 30d | Brand | What AI says | Mention rate |
|---|---|---|---|---|
| 1 | 69% | |||
| 2 | An enterprise-grade service highlighted for its integration into the Microsoft and Azure ecosystem. | 69% | ||
| 3 | +2 | A fast-rising solution, recognized for AI-powered invoice automation and custom model training. | 50% | |
| 4 | -1 | Frequently suggested for developers needing a scalable, API-driven service for table extraction. | 44% | |
| 5 | +8 | A notable new entrant specializing in structured data extraction from financial documents. | 44% | |
| 6 | +17 | 38% | ||
| 7 | -3 | 38% | ||
| 8 | 31% | |||
| 9 | 25% | |||
| 10 | +30 | 19% | ||
| 11 | +3 | 19% | ||
| 12 | +15 | 19% | ||
| 13 | -3 | 19% | ||
| 14 | 19% | |||
| 15 | -9 | Frequently mentioned for its AI that processes invoices without requiring predefined templates. | 19% | |
| 16 | 19% | |||
| 17 | -10 | A long-standing enterprise solution, frequently cited for high-accuracy invoice and document processing. | 13% | |
| 18 | 13% | |||
| 19 | +1 | 13% | ||
| 20 | 13% | |||
| 21 | 13% | |||
| 22 | -7 | 13% | ||
| 23 | 13% | |||
| 24 | 6% | |||
| 25 | 6% |
Parse
https://parse.gl
Jumped from rank #30 to #7 between October and March.
“A legacy enterprise OCR tool” → “A modern intelligent document processing (IDP) platform”
Rose from rank #8 in October to #1 by March across the market.
Initial responses in November recommended a mix of specialized tools like Nanonets and Energent.ai. By December and January, answers consistently consolidated around the major cloud platforms, with
Google Cloud Document AI,
Azure AI Document Intelligence, and
becoming the dominant recommendations for scalable, API-driven extraction.
Initial responses in November recommended a mix of specialized tools like Nanonets and Energent.ai. By December and January, answers consistently consolidated around the major cloud platforms, with
Google Cloud Document AI,
Azure AI Document Intelligence, and becoming the dominant recommendations for scalable, API-driven extraction.
Early answers in October 2025 offered a wide variety of lesser-known, specialized services like Xtracto, Kudra, and Cradl. This shifted dramatically by late November, with responses from both ChatGPT and Google AI Overviews consistently highlighting the enterprise platforms from Google, Amazon, and as the primary options, supplemented by a few well-known specialists.
Brands mentioned
Brands mentioned
which AI document extraction services can i use?
Early answers in October 2025 offered a wide variety of lesser-known, specialized services like Xtracto, Kudra, and Cradl. This shifted dramatically by late November, with responses from both ChatGPT and Google AI Overviews consistently highlighting the enterprise platforms from Google, Amazon, and
Microsoft as the primary options, supplemented by a few well-known specialists.
docsumo.com is the most-cited source here, appearing in 50% of analyzed answers.
Across 16 AI responses, Google Cloud Document AI is mentioned most, named in 69% of them, followed by Azure AI Document Intelligence (69%) and Nanonets (50%).
Parse measures each brand's mention rate — the share of answers naming it — across 16 AI responses to this market's buyer questions over the last 30 days. Answers are collected daily and the ranking is re-measured on the same 30-day window.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Initial responses in November recommended a mix of specialized tools like Nanonets and Energent.ai. By December and January, answers consistently consolidated around the major cloud platforms, with
Google Cloud Document AI,
Azure AI Document Intelligence, and
Amazon Textract becoming the dominant recommendations for scalable, API-driven extraction.
Brands mentioned
Initial responses in November recommended a mix of specialized tools like Nanonets and Energent.ai. By December and January, answers consistently consolidated around the major cloud platforms, with
Google Cloud Document AI,
Azure AI Document Intelligence, and becoming the dominant recommendations for scalable, API-driven extraction.
Early answers in October 2025 offered a wide variety of lesser-known, specialized services like Xtracto, Kudra, and Cradl. This shifted dramatically by late November, with responses from both ChatGPT and Google AI Overviews consistently highlighting the enterprise platforms from Google, Amazon, and as the primary options, supplemented by a few well-known specialists.
Brands mentioned
which AI document extraction services can i use?
Early answers in October 2025 offered a wide variety of lesser-known, specialized services like Xtracto, Kudra, and Cradl. This shifted dramatically by late November, with responses from both ChatGPT and Google AI Overviews consistently highlighting the enterprise platforms from Google, Amazon, and
Microsoft as the primary options, supplemented by a few well-known specialists.