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Interfaze

Model built for OCR, extraction and other deterministic tasks, with infrastructure bundled into token pricing

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paidToken-based with no minimums, seat fees or infrastructure add-ons: $1.50 per million input tokens and $3.50 per million output tokens. Sandbox, browser engine and caching are included and converted into tokens rather than billed separately. Published estimates: ~$0.002–$0.004 to OCR a page, ~$0.016 per ID or invoice extraction, ~$0.006 per minute of audio transcription, ~$0.03–$0.08 per scraped page, ~$0.006 per classification. 50 requests/second standard. Enterprise adds volume discounts, unlimited rate limits, SLAs, self-hosted/VPC deployment and SOC 2 / HIPAA compliance agreements.View full pricing →

Visit Interfaze

https://interfaze.ai

About Interfaze

Interfaze is a model built specifically for deterministic tasks — the class of work where a general chat model's creativity is a defect rather than a feature. OCR, structured data extraction, audio understanding, web scraping and classification all want the same answer every time from the same input, and Interfaze optimises for accuracy, precision and consistency on exactly those jobs instead of open-ended reasoning. It is chat-completions compatible, so it drops into the Vercel AI SDK, LangChain or any other framework you already use, and there are first-party TypeScript and Python SDKs alongside the raw API. The practical differentiator is that infrastructure is bundled rather than metered separately: sandbox execution, the browser engine and caching are all converted into tokens and billed at the same input/output rates rather than appearing as surprise line items, so a scraping job's cost is a single number you can forecast. The published per-task estimates are unusually concrete for a model vendor — roughly $0.002–$0.004 to OCR a document page, about $0.016 to extract structured fields from an ID or invoice, $0.006 per minute of transcribed audio, and $0.03–$0.08 to scrape and structure a web page. Rate limits are 50 requests per second on the standard tier, with volume discounts, self-hosted and VPC deployment, SOC 2 and HIPAA agreements available on the enterprise plan.

Key Features

Purpose-built for OCR, structured extraction, audio and GUI tasks
Chat-completions compatible — works with any existing AI SDK
Official TypeScript and Python SDKs
Sandbox and browser-engine usage bundled into token pricing
Published per-task cost estimates for common workloads
Self-hosted and VPC deployment on enterprise

Interfaze Pros & Cons

Pros

  • +No separate infrastructure billing removes the usual scraping-cost surprise
  • +Per-task cost estimates make it easy to model a pipeline before building it
  • +Drop-in compatibility means no rewrite to evaluate it

⚠️ Cons

  • Deliberately narrow — it is not a general reasoning or chat model
  • Still in beta, so consistency claims deserve your own benchmark
  • Observability and logging are listed as coming soon, not shipped

Tags

ocrstructured-extractionapillmdocument-processingscraping
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