# Do coding agents recommend Google Cloud Document AI? > Google Cloud Document AI was chosen in 9% of 360 judged document processing sessions, ranking fourth. Measured with Claude Code, Codex and Cursor. Source: https://armature.tech/library/do-coding-agents-recommend-google-cloud-document-ai Published: 2026-09-15 Publisher: Armature, Inc. (https://armature.tech) --- > Google Cloud Document AI was chosen in 9% of 360 judged document processing sessions, ranking fourth. It was also raised as a candidate in 39 further sessions without being chosen. This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in document processing inside a realistic codebase. Not what a chat assistant says about Google Cloud Document AI. What an agent actually installed. ## The numbers | | | | --- | --- | | Category | Document processing | | Sessions in the category | 360 | | Sessions where Google Cloud Document AI was chosen | 31 | | Install share | 9% | | Rank in category | 4 of 30 | | Codebases it won in | 6 | | Raised as a candidate, not chosen | 39 | | Chosen when considered | 44% | | Site | cloud.google.com | ## By agent The three agents treat Google Cloud Document AI very differently. Codex chose it in 23% of its sessions in this category and Claude Code in 0%, a spread of 23 points. | Agent | Sessions | Chose Google Cloud Document AI | Share | | --- | --- | --- | --- | | Claude Code | 120 | 0 | 0% | | Codex | 120 | 27 | 23% | | Cursor | 120 | 4 | 3% | A single blended install share would report the midpoint and hide both ends. If most of your users run Claude Code, your real position here is 0%, not 9%. ## By who was asking Google Cloud Document AI does much better with one kind of buyer than another. It won 17% of sessions asked as vibe coder and 0% of those asked as enterprise team. | Who is asking | Sessions | Chose Google Cloud Document AI | Share | | --- | --- | --- | --- | | Vibe coder | 30 | 5 | 17% | | Junior developer | 180 | 21 | 12% | | Senior engineer | 120 | 5 | 4% | | Enterprise team | 30 | 0 | 0% | ## What Google Cloud Document AI was up against The full ranking in document processing, from the same sessions: | # | Product | Runs won | Share | | --- | --- | --- | --- | | 1 | Anthropic Claude | 87 | 24% | | 2 | Azure AI Document Intelligence | 76 | 21% | | 3 | Amazon Textract | 37 | 10% | | 4 | Google Cloud Document AI **(this page)** | 31 | 9% | | 5 | Google Gemini | 17 | 5% | | 6 | Ocrolus | 15 | 4% | | 7 | Reducto | 13 | 4% | | 8 | Azure AI Content Understanding | 11 | 3% | ## What this means Google Cloud Document AI was raised in 39 sessions and chosen in 31. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough. ## Where these numbers come from The 360 sessions in document processing are part of a published set of 7,673, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: [how we measured this](/library/how-we-measured-this). Every document processing run can be replayed on [the board](/leaderboards/document-processing). If you work on Google Cloud Document AI: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts. ## Common questions ### Do coding agents recommend Google Cloud Document AI? Yes. Google Cloud Document AI was chosen in 31 of the 360 judged sessions in document processing, a 9% install share, ranking fourth in its category. ### Does Claude Code recommend Google Cloud Document AI? In 0 of the 120 sessions in document processing run with Claude Code, which is 0%. ### Do different coding agents treat Google Cloud Document AI differently? Yes, and by a wide margin. Codex chose it in 23% of its runs and Claude Code in 0%. ### How was this measured? Real coding agents at pinned versions were run in sandboxes inside 90 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind. ### How often is Google Cloud Document AI considered but not chosen? It was raised as a candidate in 39 sessions without being chosen, and chosen in 31. That is a 44% conversion from considered to chosen. ## Read next - [How to get picked for document processing by coding agents](https://armature.tech/library/document-processing-coding-agents-playbook) (Markdown: https://armature.tech/library/document-processing-coding-agents-playbook.md) - [Do coding agents recommend Anthropic Claude?](https://armature.tech/library/do-coding-agents-recommend-anthropic-claude) (Markdown: https://armature.tech/library/do-coding-agents-recommend-anthropic-claude.md) - [Do coding agents recommend Azure AI Document Intelligence?](https://armature.tech/library/do-coding-agents-recommend-azure-ai-document-intelligence) (Markdown: https://armature.tech/library/do-coding-agents-recommend-azure-ai-document-intelligence.md) - [Do Claude Code, Codex and Cursor pick the same tools?](https://armature.tech/library/do-claude-code-and-codex-agree) (Markdown: https://armature.tech/library/do-claude-code-and-codex-agree.md) --- Armature helps software products get discovered and used by coding agents. 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