# Interfaze vs Mistral OCR URL: https://interfaze.ai/compare/mistral-ocr [ Interfaze ![logo](https://interfaze.ai/interfaze_icon.svg) ](https://interfaze.ai/)[ we're hiring ](https://interfaze.ai/careers) models[ pricing ](https://interfaze.ai/pricing)[ help ](https://interfaze.ai/help)[ docs ](https://interfaze.ai/docs)[ blog ](https://interfaze.ai/blog)[ sign in ](https://interfaze.ai/dashboard/playground) Backed by ![Y Combinator](https://interfaze.ai/yc_logo.svg) Combinator More fields right on hard scans, in one API call. One API call reads documents, images and audio and returns structured JSON. Every response also includes the OCR underneath, with bounding boxes and a confidence score for each word. 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[ INVOICE NO. INV-20418 DATE 2026-09-03 1,200.00 3,620.50 TOTAL $4,820.50 total\_due 0.98 01 ### Data you can verify Check extracted text with word boxes and confidence scores. Flag uncertain reads for review. ](https://interfaze.ai/docs/precontext) [ .pdf .jpg .mp3 URL ![](https://interfaze.ai/interfaze_icon.svg) 02 ### Documents and audio together Send a document and a recording in one request. Mistral OCR takes one document per request, and audio goes to a separate model. ](https://interfaze.ai/compare/mistral-ocr#pipeline) [ LINE ITEMS ITEM QTY AMOUNT Valve, 2in 12 1,104.00 Gasket kit 40 386.40 Labour, site 6h 720.00 TOTAL 2,210.40 Net 30. 1.5% monthly on overdue balances. Prices exclude VAT at the prevailing rate. 03 ### Better on hard-to-read scans On our 39-document test, interfaze-1 read 97.5% of fields right against 90.1% for Mistral OCR 4.1, with the widest gap on rotated and faint text. ](https://interfaze.ai/compare/mistral-ocr#proof) [ OpenAI SDK import OpenAI from "openai"; new OpenAI({ baseURL: "https://api.interfaze.ai/v1", apiKey: INTERFAZE\_API\_KEY }); Stream response 04 ### Keep your existing client Extract documents through OpenAI-compatible Chat Completions. Use your current SDK and stream the result. ](https://interfaze.ai/compare/mistral-ocr#migration) [Try for free](https://interfaze.ai/dashboard/playground) ## Interfaze vs Mistral OCR on the same document Same pages and same fields, sent to both APIs. Three selected pages where interfaze-1 got more fields right. Pick one to see where each API placed its fields, or the JSON it returned. Newspaper op-ed LinkedIn printout Tiny-print table Boxes on the page Returned JSON correct value wrong value, boxed where the API read it no box from the API: boxed where the value is ○ not returned ![](https://interfaze.ai/interfaze_icon.svg)Interfazeinterfaze-1 structured JSON ![Newspaper op-ed, multi-column](https://r2public.jigsawstack.com/interfaze/compare/proof/ynhk0228_p1.jpg) 22/22 field checks passed Show all fields ✓ headline Climate of Fear 1.00 ✓ byline By Richard Lindzen 0.99 ✓ publication\_name The Wall Street Journal 0.99 ✓ section\_label OPINION 0.99 ✓ issue\_date WEDNESDAY, APRIL 12, 2006 1.00 ✓ author\_affiliation Mr. Lindzen is Alfred P. Sloan Professor of Atmospheric Science at MIT. 0.97 ✓ climate\_research\_spending\_today $1.7 billion 0.99 ✓ co2\_increase\_percent 30% 0.96 ✓ warmest\_year\_claimed 1998 0.99 ✓ hearings\_year 1992 0.99 ✓ named\_effect Iris Effect 0.93 ✓ photo\_credit Images.com/Corbis 0.59 ✓ tv\_host Ted Koppel 0.99 ✓ libel\_author Ross Gelbspan 0.99 ✓ dismissed\_director Henk Tennekes 0.99 ✓ wmo\_director Aksel Winn-Nielsen Read correctly. ✓ ipcc\_first\_head Bert Bolin 0.97 ✓ debate\_year 1991 0.99 ✓ ipcc\_claim\_source Sir John Houghton 0.99 ✓ texas\_rep Joe Barton 0.99 ✓ paleoclimatologist Michael Mann 0.99 ✓ climate\_plan\_year 2003 0.99 ![](https://interfaze.ai/compare/mistral/mistral_icon.svg)Mistralmistral-ocr-latest structured JSON ![Newspaper op-ed, multi-column](https://r2public.jigsawstack.com/interfaze/compare/proof/ynhk0228_p1.jpg) 19/22 field checks passed Show all fields ✗ warmest\_year\_claimed 1988 · page says 1998 No box returned. The box marks where the value is on the page. ✗ libel\_author Ross Geibspan · page says Ross Gelbspan No box returned. The box marks where the value is on the page. ○ photo\_credit not returned · page says Images.com/Corbis Not returned. The box marks where the value is on the page. ✓ headline Climate of Fear 0.99 ✓ byline By Richard Lindzen 1.00 ✓ publication\_name The Wall Street Journal 1.00 ✓ section\_label OPINION 1.00 ✓ issue\_date WEDNESDAY, APRIL 12, 2006 1.00 ✓ author\_affiliation Mr. Lindzen is Alfred P. Sloan Professor of Atmospheric Science at MIT. 1.00 ✓ climate\_research\_spending\_today $1.7 billion Read correctly. ✓ co2\_increase\_percent about 30% Read correctly. ✓ hearings\_year 1992 Read correctly. ✓ named\_effect "Iris Effect" Read correctly. ✓ tv\_host Ted Koppel Read correctly. ✓ dismissed\_director Henk Tennekes Read correctly. ✓ wmo\_director Aksel Winn-Nielsen Read correctly. ✓ ipcc\_first\_head Bert Bolin Read correctly. ✓ debate\_year 1991 Read correctly. ✓ ipcc\_claim\_source Sir John Houghton Read correctly. ✓ texas\_rep Joe Barton Read correctly. ✓ paleoclimatologist Michael Mann Read correctly. ✓ climate\_plan\_year 2003 Read correctly. [See detailed breakdown](https://interfaze.ai/compare/mistral-ocr/documents) ## One API call instead of a pipeline Mistral OCR reads one document per request, and audio goes to a separate model. With Interfaze you send them together. [Audio docs](https://interfaze.ai/docs/audio/speech-to-text) Claims intake Form + photo Claims intake integration steps Interfaze 1 call · 1 API done first Mistral OCR 3/3 steps · 2 APIs done With Interfaze With Mistral OCR Call + files Transcribe Voxtral OCR Mistral OCR Your code you ![](https://interfaze.ai/interfaze_icon.svg) Interfaze transcribeocrmerge One request Claim JSON Interfaze 1 call · 1 API first Mistral OCR 3/3 steps · 2 APIs done Call + files Transcribe Voxtral OCR Mistral OCR Your code you ![](https://interfaze.ai/interfaze_icon.svg) Interfaze transcribeocrmerge Claim JSON ## Interfaze vs Mistral OCR accuracy benchmarks Same 39 documents, same field list, first call to each API. Share of fields read correctly, with disagreements checked by hand against the page. Accuracy by content type higher is better Content ![](https://interfaze.ai/interfaze_icon.svg) Interfaze ![](https://interfaze.ai/compare/mistral/mistral_icon.svg) Mistral All fields every field on all 39 documents · 433 fields 97.5% 90.1% Rotated, upside-down & faint text upside-down pages, rotated margin numbers, vertical and faint text · 22 fields 86.4% 59.1% Fine print stamps, footers, Bates numbers, small type · 72 fields 95.8% 83.3% Tables cells in dense and scanned tables · 74 fields 97.3% 90.5% Numbers amounts, IDs, dates and counts · 97 fields 99.0% 93.8% Handwriting handwritten notes, stamps and envelopes · 34 fields 88.2% 85.3% Body text names, titles, labels and running text · 120 fields 99.2% 92.5% [Method ->](https://interfaze.ai/leaderboards) ## Interfaze vs Mistral OCR on olmOCR-bench Scores from the public olmOCR benchmark. The overall ranking first, then the three tasks with the biggest gap. [Full breakdown](https://interfaze.ai/leaderboards/olmocr) ## Interfaze vs Mistral OCR, feature by feature Checked against both companies' docs. Mistral entries refer to its OCR service; open weights refer to Interfaze Lite. ![](https://interfaze.ai/interfaze_icon.svg) Interfaze ![](https://interfaze.ai/compare/mistral/mistral_icon.svg) Mistral OCR Word-level bounding boxes Locate individual words and lines with pixel bounds in OCR precontext. Word-level bounding boxes Its docs list paragraph-level boxes, not individual word boxes. Word confidence is supported. Streaming output Stream text and structured output as it is generated. Streaming output The documented OCR endpoint returns a complete response, without streaming. OpenAI-compatible extraction Use Chat Completions with your existing OpenAI or Vercel AI SDK client. OpenAI-compatible extraction OCR uses a separate endpoint and request format, outside Chat Completions. Open weights The separate interfaze-1.1-lite model runs on one 80 GB GPU. Open weights No public weights listed for Mistral OCR; other Mistral models have open weights. Audio and video input One interface for documents, images and audio; interfaze-1 also accepts video. Audio and video input The OCR endpoint accepts documents and images. Audio uses separate Mistral models. Structured JSON output Your JSON schema through Chat Completions, alongside OCR precontext. Structured JSON output Your JSON schema through document annotations on the OCR endpoint. OCR confidence scores Word and line confidence scores in OCR precontext. OCR confidence scores Configurable word, block or page confidence scores. ## How to migrate from Mistral OCR to Interfaze The same document and schema, side by side. Keep your validation, switch the API call, or let your coding agent help. [SDK guide](https://interfaze.ai/docs/integrations/openai-sdk) TypeScript TypeScript Python **OpenAI SDK · typescript** ```typescript import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://api.interfaze.ai/v1", apiKey: process.env.INTERFAZE_API_KEY, }); const res = await client.chat.completions.create({ model: "interfaze-1", response_format: { type: "json_schema", json_schema: { name: "invoice", schema: INVOICE_SCHEMA }, }, messages: [{ role: "user", content: [ { type: "text", text: "Extract the fields" }, { type: "file", file: { filename: "invoice.pdf", file_data: pdfUrl } }, ], }], }); const invoice = JSON.parse(res.choices[0].message.content); ``` **Vercel AI SDK · typescript** ```typescript import { generateText, jsonSchema, Output } from "ai"; import { interfaze } from "@interfaze-ai/ai-sdk"; const { output } = await generateText({ model: interfaze("interfaze-1"), output: Output.object({ schema: jsonSchema(INVOICE_SCHEMA), }), messages: [{ role: "user", content: [ { type: "text", text: "Extract the fields" }, { type: "file", data: pdfUrl, mediaType: "application/pdf" }, ], }], }); ``` **OpenAI SDK · python** ```python import json, os from openai import OpenAI client = OpenAI( base_url="https://api.interfaze.ai/v1", api_key=os.environ["INTERFAZE_API_KEY"], ) res = client.chat.completions.create( model="interfaze-1", response_format={ "type": "json_schema", "json_schema": {"name": "invoice", "schema": INVOICE_SCHEMA}, }, messages=[{ "role": "user", "content": [ {"type": "text", "text": "Extract the fields"}, {"type": "file", "file": {"filename": "invoice.pdf", "file_data": pdf_url}}, ], }], ) invoice = json.loads(res.choices[0].message.content) ``` **Interfaze SDK · python** ```python import json from interfaze import Interfaze, inputs, response_format interfaze = Interfaze() # reads INTERFAZE_API_KEY res = interfaze.chat.completions.create( messages=[{ "role": "user", "content": [ {"type": "text", "text": "Extract the fields"}, inputs.file(pdf_url, filename="invoice.pdf"), ], }], response_format=response_format(INVOICE_SCHEMA, "invoice"), ) invoice = json.loads(res.choices[0].message.content) ``` Migrate with agents ## Interfaze vs Mistral OCR: common questions Accuracy, integration and what to check before switching. Does Mistral also offer document Q&A and audio models? Yes. Mistral offers document Q&A through chat models and audio processing through Voxtral. The pipeline above compares one Mistral OCR request, not the whole Mistral platform. Interfaze accepts the document and recording together in one model request. How is Interfaze different from Mistral OCR? Mistral OCR is a document-processing endpoint with layout-aware text and structured annotations. Interfaze uses a Chat Completions interface for document extraction and other tasks across documents, images and audio. Both support structured JSON and OCR metadata; the choice depends on your workload and integration. Do these examples prove Interfaze is always more accurate? No. The examples show selected fields from three pages across our 39-page run and 20-page follow-up in October 2026. Both APIs received the same image, field schema and extraction instruction. We display the first successful responses, including correct answers from both providers. Ambiguous answer-key fields are excluded. These examples are not an overall accuracy score. Which Mistral model did you test? Our API examples used Mistral OCR 4.1: mistral-ocr-latest, which has pointed to mistral-ocr-4-1 since July 16, 2026, with document annotations, block extraction and block confidence. The benchmark table uses the same 4.1 runs on 39 documents. The olmOCR charts use the Mistral OCR 4.1 scores on our olmOCR leaderboard. Does Mistral OCR also provide boxes and confidence? Yes. Its OCR API returns block-level bounding boxes and configurable confidence scores. In the examples above, each Interfaze box is the set of OCR word boxes that spell the value, and each Mistral box is the returned block that contains it. Where Mistral returned a whole table or drawing as one block, the field has no box of its own. Green marks a correct value, red a wrong or empty one. What changes when I migrate? Send the document and your schema through Interfaze's Chat Completions interface, then read the JSON from the completion instead of Mistral's document annotation. Preserve field names, check empty and missing values, and validate the result with your existing schema. Page Markdown and block consumers need their own migration checks. Can I self-host Interfaze? The separate interfaze-1.1-lite model has open weights and runs on a supported 80 GB GPU. The examples on this page used the hosted interfaze-1 model; they are not a benchmark of Lite. Which API will cost less for my documents? Interfaze uses token-based pricing; Mistral OCR uses page-based pricing with a separate annotation rate. Compare the total cost of extracting the same fields, including retries and review. These examples do not establish a cost or latency advantage. Where can I check the documents and feature sources? Original scans and product documentation are linked below. Feature documentation checked October 28, 2026. [Original newspaper scan](https://www.industrydocuments.ucsf.edu/docs/ynhk0228)[Original LinkedIn printout](https://www.industrydocuments.ucsf.edu/docs/hylx0287)[Original payment table](https://www.industrydocuments.ucsf.edu/docs/zrgg0230)[Mistral transcription](https://docs.mistral.ai/studio/audio/speech-to-text/overview)[Mistral document Q&A](https://docs.mistral.ai/studio/document-processing/document_qna)[Mistral OCR processor](https://docs.mistral.ai/studio/document-processing/basic_ocr)[Mistral document annotations](https://docs.mistral.ai/studio/document-processing/annotations)[Mistral OCR API](https://docs.mistral.ai/api/endpoint/ocr)[Mistral model catalog](https://docs.mistral.ai/models)[Mistral OCR pricing](https://docs.mistral.ai/models/ocr-4-1)[Interfaze precontext](https://interfaze.ai/docs/precontext)[Interfaze model options](https://interfaze.ai/docs/models)[Interfaze streaming](https://interfaze.ai/docs/streaming)[Interfaze open-weight Lite](https://interfaze.ai/docs/models/interfaze-1.1-lite)[Interfaze SDK integration](https://interfaze.ai/docs/integrations/openai-sdk) ## Send us your hardest PDF. If we can't beat your current provider, we'll give you $3,000 in credits. Start for free. No credit card required. [Build now](https://interfaze.ai/dashboard/playground)[Talk to a founder](https://interfaze.ai/sales)