| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Intelligent document processing | Data platform | 6% | 5 of 89 | 13% | 23 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 1 | 0 | 0 | 1 | 2 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 2 | 2 | 0 | 4 |
| Mistral Small | 0 | 0 | 2 | 0 | 2 |
| DeepSeek V4 Flash | 0 | 2 | 0 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 0 | 1 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 0 | 2 |
| MiniMax M2.5 | 1 | 0 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 3 | 0 | 0 | 3 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“My practical pick: Google Document AI if you want a strong cloud-native option with a free tier and transparent usage pricing.” GPT-5.4 mini · Document processing · budget prompt · first choice
“Go with Google Cloud Document AI or Azure AI Document Intelligence. Their free tiers are highly generous” Gemini 3.5 Flash · Document processing · budget prompt · first choice
“I would suggest starting with Google Cloud Document AI or Amazon Textract” MiniMax M2.5 · Document processing · budget prompt · first choice
“strong fit for teams already building inside Google Cloud and looking for scalable, API-driven document understanding” Muse Glimmer 30B · Document processing · comparative prompt · alternative
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.
“center on managed analysis APIs, so buyers assemble most of the operational queue, review, routing, and export application around them” Claude Haiku 4.5 · Document processing · comparative prompt · soft negative
“Users report pricing issues that hinder adoption for smaller businesses; costs can escalate unpredictably” DeepSeek V4 Flash · Document processing · negative prompt · soft negative
“Google Cloud Document AI” Gemini 3.5 Flash · Document processing · negative prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 72 of the 78 answers that named Google Document AI and are not a share of its labels.
213 of the 213 domain citations in answers naming Google Document AI came from somebody else's page.
Pages are listed as the models cited them.
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.
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.
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 Google Document AI'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 Google Document AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for Google Document AI by email, built from the raw record of the edition. It shows: