Data as of Aug 25, 2026 · Based on 573 AI responses · Shares cover the last 30 days · See how Parse measures this
OCR and Document Scanning Software
Parse
https://parse.gl
Google has emerged as the top-cited brand for OCR software, frequently mentioned for its cloud-based AI capabilities. However, AI responses increasingly differentiate between large platforms and specialized tools, recommending brands like for historical documents and for mobile receipt scanning.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | 54% | ||
| 2 | An enterprise-grade platform for complex document capture and processing workflows. | 47% | |
| 3 | Frequently cited for Azure AI Document Intelligence, particularly for structured forms. | 45% | |
| 4 | 44% | ||
| 5 | A leading mobile-first SDK for real-time receipt and invoice data extraction. | 37% | |
| 6 | Offers a mobile OCR SDK optimized for financial documents like receipts. | 32% | |
| 7 | A specialized tool for historical cursive and trainable handwriting recognition. | 23% | |
| 8 | 21% | ||
| 9 | 20% | ||
| 10 | 18% | ||
| 11 | A user-friendly app for converting handwritten notes and cursive to digital text. | 14% | |
| 12 | The go-to open-source option, though it requires preprocessing for best results. | 13% | |
| 13 | 13% | ||
| 14 | 12% | ||
| 15 | 10% | ||
| 16 | 9% | ||
| 17 | 9% | ||
| 18 | 9% | ||
| 19 | 8% | ||
| 20 | 8% | ||
| 21 | 8% | ||
| 22 | 8% | ||
| 23 | 7% | ||
| 24 | 7% | ||
| 25 | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
klippa.com is the page AI reaches for most here, cited in 41% of analyzed answers.
Its rank jumped from #19 to #3 between November 2025 and March 2026.
Became a dominant recommendation for cursive handwriting prompts by January 2026.
“Responses focused on dedicated OCR tools and APIs.” → “By January 2026, recommendations began including OpenAI's general AI models for difficult cursive.”
Dropped from a leading recommendation in November 2025 to being less frequently cited than competitors.
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 74% | 55% | ||
| 63% | 41% | ||
| 52% | 41% | ||
| 50% | 20% | ||
| 33% | 34% |
The two models disagree most about Microblink (ChatGPT #11, Google #25) and Hyperscience (ChatGPT #25, Google #13).
Across 573 AI responses, Alphabet is mentioned most, named in 54% of them, followed by Abbyy (47%) and Microsoft (45%).
Parse measures each brand's mention rate — the share of answers naming it — across 573 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.
AI answers initially favored Microsoft Azure in November 2025, but quickly shifted to recommending
Google and
Amazon's cloud platforms as the dominant solutions for enterprise-scale form processing. Mentions of pure handwriting specialists were less common for this business-form prompt.
AI answers initially favored Microsoft Azure in November 2025, but quickly shifted to recommending
Google and
Amazon's cloud platforms as the dominant solutions for enterprise-scale form processing. Mentions of pure handwriting specialists were less common for this business-form prompt.
For difficult cursive handwriting, AI responses consistently centered on specialized tools. Transkribus was a top recommendation throughout the period for its trainable models for historical documents, while was frequently cited as a user-friendly mobile app.
Brands mentioned
I need an OCR tool that recognizes cursive handwriting and does not struggle with low contrast.
For difficult cursive handwriting, AI responses consistently centered on specialized tools. Transkribus was a top recommendation throughout the period for its trainable models for historical documents, while
Pen to Print was frequently cited as a user-friendly mobile app.