Index › IT › Data platform › Document processing · November 2026 Edition

Intelligent document processing

Asked as “intelligent document processing platform”, and as “IDP software”, on behalf of a mid-market B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
31%
Contested · Rossum 15%
31Nanonets15Rossum10Docsumo44others

31% of first choices, contested.

Since October 2026▼−1Since October 2026: 32% → 31%, −1 point. Inside the 11-point floor: within noise.Nanonets held the lead, −1 point on 32%, inside the 11-point floor.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Nanonets31%0%42endorsed leader▼−1Since October 2026: 32% → 31%, −1 point. Inside the 11-point floor: within noise.32% → 31%
02Rossum15%12%49accepted challenger▼−1Since October 2026: 16% → 15%, −1 point. Inside the 11-point floor: within noise.16% → 15%
03Docsumo10%0%25accepted challenger▲+4Since October 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise.6% → 10%
04Parseur8%10%10accepted challenger=heldSince October 2026: 8% → 8%, ±0 points. Inside the 11-point floor: within noise.8% → 8%
05ABBYY Vantage6%28%50criticized challenger▲+2Since October 2026: 4% → 6%, +2 points. Inside the 11-point floor: within noise.4% → 6%
06UiPath Document Understanding4%16%44accepted challenger=heldSince October 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise.4% → 4%
07Google Document AI Lab in the set4%24%29accepted challenger▼−2Since October 2026: 6% → 4%, −2 points. Inside the 11-point floor: within noise.6% → 4%
08Amazon Textract4%30%27criticized challenger=heldSince October 2026: 4% → 4%, ±0 points. Inside the 11-point floor: within noise.4% → 4%
09Azure AI Document Intelligence4%33%18criticized challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
10Microsoft Azure AI Document Intelligence2%0%15accepted challenger=heldSince October 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise.2% → 2%
11Tungsten Automation2%18%11accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the two products at 0%, ordered by negative rate
12Hyperscience Hypercell0%24%33accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
13Automation Anywhere0%14%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.

Google Document AI is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice zero times of 4; the other thirteen models two times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.

All twenty-eight head-to-head pages: the top eight products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
02
03
04
05
06
G07
A08
A09
M10
11
12
13
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Nanonets31%
02Rossum15%
03Docsumo10%
04Parseur8%
05ABBYY Vantage6%
06UiPath Document Understanding4%
07Google Document AI4%
08Amazon Textract4%
09Azure AI Document Intelligence4%
10Microsoft Azure AI Document Intelligence2%
11Tungsten Automation2%
12Hyperscience Hypercell0%
13Automation Anywhere0%

What they warned about

Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
ABBYY Vantage
28%
14 of 50 labels negative · 9 of 14 models · 4 hard negative
“What to avoid if you're on a tight budget - ABBYY, Hyperscience, Rossum, UiPath: These are enterprise-grade but quote-only” DeepSeek V4 Flash, budget prompt
Rossum
12%
6 of 49 labels negative · 6 of 14 models · 4 hard negative
“Avoid If Budget Is Tight | Rossum | $18,000/year | Enterprise-focused, annual contracts” Kimi K2, budget prompt
UiPath Document Understanding
16%
7 of 44 labels negative · 6 of 14 models · 4 hard negative
“Avoid enterprise tools like ABBYY Vantage, UiPath, Rossum, or Hyperscience” Grok 4.20, budget prompt
Hyperscience Hypercell
24%
8 of 33 labels negative · 6 of 14 models · 3 hard negative
“Avoid starting with Rossum, ABBYY, Hyperscience, or similar enterprise platforms” Perplexity Sonar, budget prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

73 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 887 links across 234 sites, every framing counted. Ranked by the number of answers carrying the site or page. 34 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

vendor site · G231 answers · 52 citations · 10 models
vendor site · Nanonets28 answers · 33 citations · 11 models
vendor site · Docsumo27 answers · 53 citations · 10 models
23 answers · 37 citations · 8 models
22 answers · 22 citations · 9 models
17 answers · 22 citations · 8 models
vendor site · Parseur16 answers · 28 citations · 7 models
14 answers · 15 citations · 8 models
vendor site · Guideflow13 answers · 13 citations · 5 models
13 answers · 13 citations · 8 models
vendor site · Cycloid12 answers · 16 citations · 7 models
12 answers · 12 citations · 10 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “intelligent document processing platform”, “intelligent document processing platforms”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 days
Nanonets nanonets.com31%1031,900297,9842
Rossum rossum.ai15%1251,6002,8383,12024
Docsumo docsumo.com10%73590312,3620
Parseur parseur.com8%42880917,087
ABBYY Vantage abbyy.com6%136210136,78614
Microsoft parent site
Microsoft Entra ID 4%, Microsoft Azure AI Document Intelligence 2%
6%4992,240,000403,136
UiPath Document Understanding uipath.com4%1202606161,995$74107
Google Cloud parent site
Google Document AI 4%
4%83165,0007,596
Amazon parent site
Amazon Textract 4%
4%79151,000,0001,380,939
Azure azure.com
Azure AI Document Intelligence 4%
4%54301,00047,904

Google's top ten for the two searches hold 17 sites; 1 of them are among the sites the models cited here (g2.com). The first result for “intelligent document processing platform” is extend.ai.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
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ModelDirect“What is the best intelligent document processing platform for a mid-market B2B company?”Paraphrase“Which IDP software would you recommend to a mid-sized B2B company?”Comparative“What are the top intelligent document processing platforms and how do they differ?”Budget-constrained“What is the best intelligent document processing platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an intelligent document processing platform. What should we look at?”Negative“Which intelligent document processing platforms should I avoid or be cautious about?”
Claude Haiku 4.5Nanonets
Two alternativesDoxis AI.dp, Rossum
DocsumoChanged
Three alternativesAzure AI Document Intelligence, Nanonets, Rossum
no first choiceDocsumo, Lido
Six alternativesAmazon Textract, Azure AI Document Intelligence, Google Document AI, Mistral OCR, Zenphi, super.AI Document
no first choiceagainst: ABBYY Vantage, UiPath Document Understanding
GPT-5.4 miniABBYY Vantage
Three alternativesAWS IDP, Azure AI Document Intelligence, Rossum
WorkOSChanged
Two alternativesAuth0, Microsoft Entra External ID
ABBYY Vantage, Hyperscience Hypercell, Rossum
Five alternativesAWS, Google Cloud, Microsoft, Tungsten Automation, UiPath Document Understanding
Amazon Textract
Three alternativesAzure AI Document Intelligence, DocuPipe, Google Document AI
no first choiceagainst: Docparser
Gemini 3.5 FlashNanonets
Three alternativesABBYY Vantage, Docsumo, Rossum
against: Amazon Textract, Azure AI Document Intelligence, Google Document AI, IBM Datacap
RossumChanged
Nine alternativesABBYY Vantage, Amazon Textract, Auth0, Google Document AI, JumpCloud, Microsoft Entra ID, Palo Alto Networks Cortex Cloud, Port, WorkOS
against: Backstage
no first choice
Twelve alternativesABBYY Vantage, Amazon Textract, Automation Anywhere Document Automation, Google Document AI, Hyperscience Hypercell, Instabase, LlamaParse, Microsoft Azure AI Document Intelligence, Nanonets, Rossum, Tungsten Automation, UiPath Document Understanding
Microsoft Azure AI Document Intelligence
Seven alternativesAmazon Textract, Docsumo, Google Document AI, IBM Docling, Nanonets, Paperless-ngx, Unstructured.io
against: ABBYY Vantage, Hyperscience Hypercell, Kofax
no first choiceagainst: ABBYY FlexiCapture, Amazon Textract, Azure AI Document Intelligence, Google Document AI, Kofax, Tungsten Automation
Perplexity SonarNanonets
Three alternativesDocsumo, Microsoft Azure AI Document Intelligence, Parseur
against: ABBYY Vantage, Grooper
ParseurChanged
Two alternativesABBYY Vantage, UiPath Document Understanding
ABBYY Vantage
Nine alternativesAmazon Textract, Google Document AI, Grooper, Hyperscience Hypercell, Microsoft Azure AI Document Intelligence, Nanonets, Rossum, Tungsten TotalAgility, UiPath Document Understanding
Parseur
Two alternativesDocparser, Nanonets
against: ABBYY Vantage, Amazon Textract, Azure AI Document Intelligence, Hyperscience Hypercell, Rossum
no first choiceagainst: Amazon Textract, Azure AI Document Intelligence, Google Document AI
Grok 4.20Rossum
Four alternativesABBYY Vantage or FlexiCapture, Docsumo, Hyperscience Hypercell, UiPath Document Understanding
NanonetsChanged
Three alternativesABBYY Vantage, Rossum, UiPath Document Understanding
ABBYY Vantage
Five alternativesHyperscience Hypercell, OpenText Intelligent Capture, Rossum, Tungsten Automation, UiPath Document Understanding
against: Microsoft AI Builder
Nanonets
Four alternativesDocparser, Docsumo, Microsoft Azure AI Document Intelligence, Parseur
against: ABBYY Vantage, Hyperscience Hypercell, Rossum, UiPath Document Understanding
no first choiceagainst: ABBYY Vantage, AWS, Adobe, Altilia, AntWorks, Automation Anywhere, Datamatics, FormX AI, Google Document AI, Hyperscience Hypercell, Microsoft, Mindee, UiPath Document Understanding
Mistral SmallABBYY Vantage, Rossum
Two alternativesApryse, Turian
Rossum, UiPath Document UnderstandingChanged
Two alternativesABBYY Vantage, Automation Anywhere
no first choiceDocsumo, Nanonets
Two alternativesGoogle Document AI, Parseur
no first choicenothing named
DeepSeek V4 FlashDocsumo
Two alternativesNanonets, Rossum
against: ABBYY Vantage
no first choiceChangedABBYY Vantage, Hyperscience Hypercell
Five alternativesInfrrd, Nanonets, Rossum, Tungsten Automation (formerly Kofax) TotalAgility, UiPath Document Understanding
Nanonets
Two alternativesDocparser, Parseur
against: ABBYY Vantage, Amazon Textract, Google Document AI, Hyperscience Hypercell, Rossum, Sensible, UiPath Document Understanding
no first choiceagainst: Hyperscience Hypercell, Kofax TotalAgility, Lector
Llama 4 MaverickNanonets
Two alternativesApryse PDF SDK, Parseur
against: ABBYY Vantage, Hyperscience Hypercell
Tungsten AutomationChanged
Three alternativesABBYY Vantage, Aluma, Rossum
ABBYY Vantage
Four alternativesDocsumo, Hyperscience Hypercell, Rossum, UiPath Document Understanding
Azure AI Document Intelligence, Google Document AI, Nanonetsno first choiceagainst: Kolena
Qwen 3.7 FlashNanonets
Three alternativesExtend, Rossum, Turian
RossumChanged
Three alternativesAzure AI Document Intelligence, Nanonets, UiPath Document Understanding
ABBYY Vantage
Seven alternativesAmazon Textract, Automation Anywhere, Google Document AI, Hyperscience Hypercell, Microsoft Azure AI Document Intelligence, Rossum, UiPath Document Understanding
Amazon Textract, Google Document AI
Three alternativesDocsumo, Microsoft Azure AI Document Intelligence, Nanonets
against: ABBYY Vantage
no first choiceagainst: ABBYY Vantage, Amazon Textract, Automation Anywhere, Azure AI Document Intelligence, Docparser, Google Document AI, Kofax, Maveric, Parseur, UiPath Document Understanding
Kimi K2Rossum
Three alternativesABBYY Vantage, Microsoft Azure AI Document Intelligence, Nanonets
Nanonets, ParseurChanged
Four alternativesDocsumo, Microsoft Azure AI Document Intelligence, Rossum, UiPath Document Understanding
against: ABBYY Vantage
no first choiceDocsumo, Nanonets
Four alternativesAmazon Textract, Azure AI Document Intelligence, DocuClipper, Google Document AI
against: ABBYY Vantage, Docling, PaddleOCR, Rossum, Tesseract OCR, UiPath Document Understanding, py-idp
no first choicenothing named
GLM 4.7 FlashXUiPath Document Understanding
Four alternativesABBYY Vantage, Automation Anywhere Intelligent Automation, Microsoft Azure AI Document Intelligence, ServiceNow Document Management
ABBYY VantageChanged
Three alternativesAutomation Anywhere IQ Bot, Nanonets, UiPath Document Understanding
ABBYY Vantage
Nine alternativesAffinda, Automation Anywhere, DocuPipe, Hyperscience Hypercell, OpenText Core Capture, Rossum, SAP Document AI, Tungsten Automation, UiPath Document Understanding
TurboDoc
Four alternativesDocsumo, Nanonets, PDF AI, Reducto
no first choicenothing named
MiniMax M2.5Nanonets
Five alternativesABBYY Vantage, Docsumo, Hyperscience Hypercell, Rossum, UiPath Document Understanding
Microsoft Entra ID, OktaChanged
Two alternativesJumpCloud, OneLogin
no first choice
Four alternativesABBYY Vantage, Hyperscience Hypercell, ServiceNow, UiPath Document Understanding
Nanonets
Two alternativesAzure AI Document Intelligence, Docsumo
against: Hyperscience Hypercell, Rossum
no first choicenothing named
GPT-6 LunaRossum
Three alternativesABBYY Vantage, Nanonets, UiPath Document Understanding
Microsoft Entra IDChanged
One alternativeOkta Workforce Identity
ABBYY Vantage, Hyperscience Hypercell, Tungsten TotalAgility
Four alternativesGoogle Document AI, Microsoft Azure AI Document Intelligence, Rossum, UiPath Document Understanding
against: Amazon Textract
Azure AI Document Intelligence
One alternativeNanonets
no first choiceagainst: Amazon Textract, Azure AI Document Intelligence, Google Document AI
Muse Glimmer 30BNanonets, Rossum
Four alternativesABBYY Vantage, Automation Anywhere, Google Document AI, UiPath Document Understanding
against: Kofax, Tungsten Automation
NanonetsChanged
Two alternativesRossum, UiPath Document Understanding
against: ABBYY Vantage
no first choiceParseur
Four alternativesDocling, Microsoft Azure AI Document Intelligence, Nanonets, Unstract
no first choiceagainst: ABBYY Intelligent Document Processing / FlexiCapture, Microsoft Syntex, Rossum, Tesseract, UiPath Agentic Automation, UiPath Document Understanding
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:51yes108 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 16:04yes36 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:57yes1524 s
Direct recommendationPerplexity Sonarsonar2026-11-01 12:09yes105 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 18:00yes1518 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 12:14yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:58yes2324 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 19:04yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 18:20yes529 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:37yes1445 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:44yes1436 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 19:30yes940 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 11:56yes418 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:45yes1425 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:22yes189 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 10:52yes35 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:11no011 s
ParaphrasePerplexity Sonarsonar2026-11-01 18:36yes103 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:50yes1413 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 09:16yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:39yes2333 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 13:19yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:11no034 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 15:10yes1734 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 11:42yes19116 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 17:16yes1024 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 16:36yes28 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 09:37yes2430 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 17:25yes97 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 08:48yes79 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:45yes1327 s
ComparativePerplexity Sonarsonar2026-11-01 12:44yes106 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:38yes819 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 10:22yes710 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 17:33yes2253 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:43yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:21yes1025 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 11:25yes1465 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 17:56yes1837 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:13yes1421 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 18:29yes931 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 17:36yes2346 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:24yes179 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 17:28yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 16:02yes822 s
Budget constrainedPerplexity Sonarsonar2026-11-01 13:53yes104 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 18:58yes2514 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 12:16yes55 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 18:23yes2534 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 19:24yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 10:07yes935 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 15:41yes2565 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:44yes2430 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 18:18yes1524 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:05yes213 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:32yes2527 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 16:41no06 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 14:07no07 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 16:34no017 s
Scale constrainedPerplexity Sonarsonar2026-11-01 09:00yes109 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:04yes517 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 12:42no05 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:44yes1637 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 18:16yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:28no029 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:27yes1452 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:50yes1020 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 15:20no021 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 17:31yes221 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:10yes1429 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 19:42yes2010 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:36yes67 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:19no015 s
Negative framingPerplexity Sonarsonar2026-11-01 18:36yes105 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:25yes1011 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 13:52yes57 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:37yes2541 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 12:56yes53 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 08:42no033 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:22yes2430 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:35yes1526 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 18:29no020 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 08:54yes320 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 13:34yes2534 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
ABBYY read as ABBYY Vantage
ABBYY (FlexiCapture) read as ABBYY Vantage
ABBYY (Vantage) read as ABBYY Vantage
ABBYY (Vantage/FlexiCapture) read as ABBYY Vantage
AWS Textract read as Amazon Textract
Azure Form Recognizer (AI Builder) read as Azure AI Document Intelligence
Google Cloud Document AI read as Google Document AI
Hyperscience read as Hyperscience Hypercell
Hyperscience (Hypercell) read as Hyperscience Hypercell
Hyperscience (now part of Tungsten Automation) read as Hyperscience Hypercell
OpenText Capture read as OpenText Core Capture
UiPath read as UiPath Document Understanding
UiPath (Agentic Automation/IDP features) read as UiPath Document Understanding
UiPath (Document Understanding) read as UiPath Document Understanding
UiPath Document Understanding / IXP read as UiPath Document Understanding
UiPath IXP read as UiPath Document Understanding
Unresolved, counted raw
ABBYY Intelligent Document Processing / FlexiCapture
ABBYY Vantage or FlexiCapture
AWS IDP
Adobe
Altilia
Aluma
Apache Tika
Apryse (formerly PDFTron)
Apryse PDF SDK
Automation Anywhere Intelligent Automation
Datacap
DocTR
Documate/Affinda
Dokuflex
Extend
FormX AI (by Kofax/Tungsten or similar)
GdoczAI / Documind
Hyland OnBase
IBM Docling
IBM Watson Document Processing
Klearsstack
Kraftful
Lector
Maveric
Mistral OCR
Nividous
PDF AI
PaddleOCR
Paperless-ngx
Sensible
ServiceNow Document Management
Snoh Fusion
Tungsten Automation formerly Kofax
TurboDoc
Unstructured.io
py-idp
super.AI Document
Discontinued, still offered
No shut-down product was recommended here.
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