Interfaze
Multimodal models for OCR, audio understanding, and structured data extraction, with verifiable outputs and developer-friendly APIs.
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Product Overview
What is Interfaze?
Interfaze is a model platform designed for repeatable processing tasks where accuracy and consistency matter. It converts documents, images, audio, and other inputs into structured data, with confidence scores and bounding boxes to support validation. Developers can integrate it through a chat-completion-compatible API or official SDKs, choosing between the flagship Interfaze 1 and the smaller, self-hostable Interfaze 1 Lite.
Key Features
Structured Data Extraction
Extract information from documents and images into developer-defined JSON schemas for downstream applications.
Multimodal Understanding
Process text, images, audio, and files, with additional video support in Interfaze 1.
Verifiable Outputs
Use confidence scores and bounding boxes to validate extracted fields and connect results to source content.
Multilingual Processing
Extract and interpret content in more than 100 languages across supported input types.
Flexible Developer Integration
Build with official Python and TypeScript SDKs or integrate through compatible chat completion frameworks.
Self-Hosting Option
Deploy the open-weight Interfaze 1 Lite model on your own infrastructure for greater deployment control.
Use Cases
- Identity Document Processing : Extract names, birth dates, and identification numbers from ID images for onboarding workflows.
- Financial Document Extraction : Convert financial documents into structured records for reconciliation, review, and data entry.
- Form and Record Digitization : Turn government forms, medical memos, and scanned records into searchable, structured information.
- Audio Content Processing : Transcribe and interpret audio for searchable records and downstream workflow automation.
- Extraction Review Workflows : Use confidence scores to flag uncertain fields and bounding boxes to help reviewers inspect source evidence.
FAQs
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