Index › Products › ABBYY FlexiCapture · October 2026 Edition

1 category · Named, not ranked

ABBYY FlexiCapture

10Judge labels

1First choices

5Negative labels

6 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. ABBYY FlexiCapture was named 4 times in Document processing, where Nanonets led with 32%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business66 of 96

under the label threshold

Mid-market89 of 89

under the label threshold

Enterprise13 of 80

under the label threshold

In document processing · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named ABBYY FlexiCapture for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant	Since September 2026
Intelligent document processing	Data platform	0%	89 of 89	75%	4	under 10 labels · led by Nanonets at 32%

Movement

This is the first edition on this tier, so no move can be computed for ABBYY FlexiCapture yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated ABBYY FlexiCapture across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Alternative	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	0	0
Mistral Small	0	0	0
DeepSeek V4 Flash	0	1	1
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	1	1	2
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	0	0

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct1 labelNone

Paraphrase1 label1

Comparative1 labelNone

Budget-constrained2 labelsNone

Scale-constrained1 labelNone

Negative4 labelsNone

First choiceAlternativeMentionNegative10 labels in all, every segment counted; 1 of the 1 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“One of the oldest and most mature players in OCR and IDP.” Qwen 3.7 Flash · Document processing · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Avoid if you want simplicity: ABBYY and UiPath (unless you are already deep in those ecosystems).” Qwen 3.7 Flash · Document processing · negative prompt · hard negative

“Legacy, Template-Heavy OCR Platforms * Examples: Traditional implementations of ABBYY FlexiCapture” Gemini 3.5 Flash · Document processing · negative prompt · soft negative

“ABBYY FlexiCapture ($32,000/license)” DeepSeek V4 Flash · Document processing · budget prompt · soft negative

Named alongside

The products named in the same answers as ABBYY FlexiCapture, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and ABBYY FlexiCapture was named but was not.

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ProductSame answerTook the first choice insteadHead to head

UiPath Document Understanding8 of 101Not among the top eight

Google Document AI6 of 101Not among the top eight

Amazon Textract5 of 100Not among the top eight

Rossum5 of 100Not among the top eight

Docsumo4 of 101Not among the top eight

Azure AI Document Intelligence4 of 100Not among the top eight

Nanonets3 of 100Not among the top eight

Docparser2 of 100Not among the top eight

Kofax2 of 100Not among the top eight

Microsoft Azure AI Document Intelligence2 of 100Not among the top eight

A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named ABBYY FlexiCapture. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 7 of the 10 answers that named ABBYY FlexiCapture and are not a share of its labels.

Domains cited

docsumo.com4

g2.com4

llamaindex.ai4

filecenter.com3

nanonets.com3

affinda.com2

checkthat.ai2

extend.ai2

flowwright.com2

gartner.com2

Twenty-eight of the twenty-eight domain citations in answers naming ABBYY FlexiCapture came from somebody else's page.

Pages cited

filecenter.com/feeds/blog/document-processing-automation3

g2.com/categories/intelligent-document-processing-idp/small-business3

affinda.com/blog/best-intelligent-document-processing-solutions2

docsumo.com/blog/the-best-intelligent-document-processing-software2

flowwright.com/blog/the-8-best-intelligent-document-processing-software2

klippa.com/en/blog/information/idp-software2

larksuite.com/en_us/blog/intelligent-document-processing-software2

lido.app/blog/best-automated-document-processing-software2

Pages are listed as the models cited them.

Search and answers

abbyy.com is not in Google's top ten for any of the category's searches. In the answers, ABBYY FlexiCapture takes 0% of first choices and Nanonets takes 32%.

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In search

Google, US estimates

Position for “intelligent document processing platform”

–

not in the top ten

Position for “intelligent document processing platforms”

–

not in the top ten

Searches for its name, Google: 260 a month (“abbyy flexicapture”)
AI search demand for its name, est.: 7 a month
Organic visits to its site: about 36,786 a month
Searches its site ranks for: 1,975 · 199 in the top three
Sites linking to it: 11,286
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

28 ads · 24 text, 2 image, 2 video · 14 shown in the last 30 days

First shown December 2021, as ABBYY USA SOFTWARE HOUSE, INC., verified. Ads started 2025-11 to 2026-10: 12 in the year, 16 before. 31 more by other advertisers linking to it.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 89 of 89 in document processing

Segment leader

32%

Nanonets

First choices: 1 across its categories
Named in: 10 answers
Its own site cited: in 7 of the answers that named it

Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on abbyy.com

3,083

subdomains included

Content

1,213

counted in the table below

Documentation

Product · Integration

61 · 236

Kind	Pages	Last 90 days	Categories named
Blog	495	undated	RPA, Process mining
News or press	311	undated	RPA, Document processing
Webinar or virtual event	111	undated	Process mining, RPA
Report or ebook	86	undated	Document processing, Process mining
Case study	82	undated	Document processing, RPA
Glossary or explainer	61	undated	Process mining
Conference or event	35	undated
Comparison	17	undated	Process mining, RPA
Template or tool	10	undated
Podcast or video	5	undated	Document processing

Events in person

Last twelve months

July 22, 2026 to July 23, 2026ABBYY Ascend Developer ConferenceShangri-La, Bengaluru, India · hybrid · hosted

As the event pages on abbyy.com state them, read October 5, 2026.

How it is countedHide how it is counted

Every page abbyy.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.

Names read as ABBYY FlexiCapture

What the judge wrote, as written, with how often. The vendor table decides that these count as ABBYY FlexiCapture; a claim can dispute any of them.

ABBYY FlexiCapture / ABBYY Vantage 1

Follow ABBYY FlexiCapture

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when ABBYY FlexiCapture's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as ABBYY FlexiCapture, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

What a new claim receivesHide what a new claim receives

A new claim receives the current edition's vendor brief for ABBYY FlexiCapture by email, built from the raw record of the edition. It shows:

where ABBYY FlexiCapture is named, by buyer and by framing, and which cells hold its first choices;
the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
its vocabulary against the segment leader's, and the pages the models cited;
who was chosen in the answers that did not name ABBYY FlexiCapture, and every reason the record gives;
a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
one page of published figures cleared to show a buyer.