# A model built for deterministic tasks URL: https://interfaze.ai/ Backed by ![Y Combinator](https://interfaze.ai/yc_logo.svg) Combinator A new model architecture for deterministic tasks achieving the highest accuracy, precision and consistency for tasks like OCR, Audio understanding, Structured Data Extraction and more [Build now ->](https://interfaze.ai/dashboard/playground)[Read paper ->](https://www.arxiv.org/abs/2602.04101) ### Works with any AI SDK Chat completion API compatible, works with every AI SDK or framework out of the box OpenAI SDK Vercel AI SDK Langchain SDK typescript typescript python ``` import OpenAI from "openai"; import { z } from "zod"; import { zodResponseFormat } from "openai/helpers/zod"; const interfaze = new OpenAI({ baseURL: "https://api.interfaze.ai/v1", apiKey: "" }); const IDSchema = z.object({ first_name: z.string().describe("First name on the ID"), last_name: z.string().describe("Last name on the ID"), dob: z.string().describe("Date of birth on the ID"), driver_licence_number: z.string().describe("Driver licence number on the ID"), }); const response = await interfaze.chat.completions.create({ model: "interfaze-beta", messages: [ { role: "user", content: [ { type: "text", text: "Extract the details from this ID" }, { type: "image_url", image_url: { url: "https://r2public.jigsawstack.com/interfaze/examples/id.jpg", }, }, ], }, ], response_format: zodResponseFormat(IDSchema, "id_schema"), }); console.log(response.choices[0].message.content); ``` ### Model Comparison [ Full breakdown -> ](https://interfaze.ai/leaderboards) | Benchmark | Interfaze | Gemini-3-Flash | Gemini-3.5-Flash | Claude-Sonnet-5 | GPT-5.4-Mini | Grok-4.3 | | --- | --- | --- | --- | --- | --- | --- | | OCRBench V2 Native OCR | 70.7% | 55.8% | 63.9% | 59.2% | 52.7% | 54.7% | | olmOCR Complex document processing | 85.7% | 75.3% | 82.3% | 83.5% | 80.1% | 81.9% | | RefCOCO Object detection (NL prompts) | 82.1% | 75.2% | 80.9% | 69.2% | 67.0% | 25.0% | | VoxPopuli-Cleaned-AA ASR (speech recognition) | 2.4% | 4.0% | 4.0% | — | — | — | | SOB Value Acc Structured output | 80.5% | 77.3% | 80.2% | 79.3% | 75.1% | 78.4% | | Spider-2.0-Lite Text-to-SQL | 52.9% | 45.2% | 46.7% | 50.6% | 26.7% | 45.9% | | GPQA Diamond PhD-level problem solving | 92.4% | 88.5% | 91.4% | 78.3% | 82.8% | 73.6% | | MMMLU Multilingual Q&A | 90.9% | 88.7% | 88.1% | 87.3% | 75.3% | 89.7% | | MMMU-Pro Multimodal understanding | 71.1% | 67.6% | 64.2% | 53.3% | 40.4% | 68.7% | \*Bold cells mark the leader on each benchmark. '—' means the model doesn't support that modality. ### Verifiable outputs [ OCR docs -> ](https://interfaze.ai/docs/vision/ocr) Data you can verify and build rule based systems on with confidence scores, bounding boxes and more ![scraping](https://interfaze.ai/examples/kyc_id_output.png) ``` { "first_name": { "value": "WESTON COLE", "confidence": 0.99, "bounds": { "top_left": { "x": 866, "y": 701 }, "bottom_right": { "x": 992, "y": 737 } } }, "last_name": { "value": "BAILEY", "confidence": 1.0, "bounds": { "top_left": { "x": 861, "y": 739 }, "bottom_right": { "x": 991, "y": 774 } } }, "age": { "value": 61, "note": "Derived from date of birth 05/01/1965 as of 2026-06-28", "confidence": 0.98, "bounds": { "top_left": { "x": 865, "y": 1008 }, "bottom_right": { "x": 1063, "y": 1044 } } }, "eye_color": { "value": "BLU", "confidence": 1.0, "bounds": { "top_left": { "x": 1030, "y": 1078 }, "bottom_right": { "x": 1095, "y": 1111 } } } } ``` ### Multilingual by default [ Translation docs -> ](https://interfaze.ai/docs/translation) Extract and understand text, audio, images in over 100+ languages ``` zh: 英国每天饮用约100–160百万杯茶，有98%的茶饮者在茶中加入牛奶。 hi: यूके हर दिन लगभग 100–160 मिलियन कप चाय पीता है, और 98% चाय पीने वाले अपनी चाय में दूध मिलाते हैं। es: El Reino Unido bebe alrededor de 100–160 millones de tazas de té cada día, y el 98 % de los consumidores de té añade leche a su té. fr: Le Royaume-Uni boit environ 100–160 millions de tasses de thé chaque jour, et 98 % des buveurs de thé ajoutent du lait à leur thé. de: Das Vereinigte Königreich trinkt etwa 100–160 Millionen Tassen Tee pro Tag, und 98 % der Teetrinker fügen ihrem Tee Milch hinzu. it: Il Regno Unito beve circa 100–160 milioni di tazze di tè ogni giorno e il 98% degli amanti del tè aggiunge latte al proprio tè. ja: イギリスでは毎日約100～160百万杯の紅茶が飲まれており、紅茶を飲む人の98%が紅茶に牛乳を加えます。 ko: 영국에서는 매일 약 1억 ~ 1억 6천만 잔의 차를 마시며, 차를 마시는 사람의 98%가 차에 우유를 넣습니다. ``` ### Built in tools you never need to maintain [ STT docs -> ](https://interfaze.ai/docs/audio/speech-to-text) Compute with sandboxes and browse the web with headless browsers ![scraping](https://r2public.jigsawstack.com/interfaze/examples/computer_use.jpg) ### Configurable guardrails and NSFW checks [ Guardrails docs -> ](https://interfaze.ai/docs/guardrails) Fully configurable guardrails for text and images ``` S1: Violent Crimes S2: Non-Violent Crimes S3: Sex-Related Crimes S4: Child Sexual Exploitation S5: Defamation S6: Specialized Advice S7: Privacy S8: Intellectual Property S9: Indiscriminate Weapons S10: Hate S11: Suicide & Self-Harm S12: Sexual Content S12_IMAGE: Sexual Content (Image) S13: Elections S14: Code Interpreter Abuse ``` ![Extraction](https://interfaze.ai/examples/nsfw_example.jpg) ### Architecture [ Read paper -> ](https://www.arxiv.org/abs/2602.04101) A hybrid Mixture-of-Architecture (MoA) model that combines specialized DNNs/CNNs with a transformer layer to achieve state of the art performance at the highest accuracy and precision while maintaining the flexibility of a traditional LLM. [ ![How it works](https://interfaze.ai/examples/howitworks.png) ](https://interfaze.ai/examples/howitworks.png) ### Specs Context window 1m tokens Max output tokens 32k tokens Input modalities Text, Images, Audio, File, Video Reasoning Available ### Pricing [ Pricing details -> ](https://interfaze.ai/pricing) Input tokens $1.50 / MTok Output tokens $3.50 / MTok Caching Included Observability & Logging Coming soon ### Latest blog posts [ All blogs -> ](https://interfaze.ai/blog) - [Interfaze Updates: Home page playground, Diffusion Gemma ASR, Claude Sonnet 5 & Mistral OCR 4 benchmarks and more](https://interfaze.ai/blog/07-07-26-updates) - [The First Open Source Diffusion Audio ASR Model](https://interfaze.ai/blog/the-first-open-source-diffusion-audio-asr-model) - [Interfaze Updates: OCR improvements, Gemini 3.5 benchmarks, STT word level accuracy, caching and more](https://interfaze.ai/blog/28-06-26-updates) ### FAQs [ All FAQs -> ](https://interfaze.ai/docs/faqs) What are the rate limits? You can make 50 requests per second. If you need more, please contact us at support@interfaze.ai How do I track my usage? You can track your usage on the dashboard. We'll be adding more detailed metrics and analytics in the future. Are my messages/prompts stored? We don't store or log any messages or prompts by default. When we do offer observability and logging in the future, you will have the option to allow or disallow storage. How do I report bugs? We do expect many bugs and issues. Please report them to us at support@interfaze.ai How do I get in contact with the team for other inquiries? Please email us at support@interfaze.ai or reach out to Yoeven on X: https://x.com/yoeven ### Start building with Interfaze Bring deterministic accuracy to your workflows. Get started for free, no credit card required. [Build now ->](https://interfaze.ai/dashboard/playground)[Talk to a founder ->](https://interfaze.ai/sales)