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AI model built for deterministic developer tasks like OCR
Interfaze is an AI model built on a new architecture that merges specialized DNN/CNN models with LLMs for developer tasks that require deterministic output and high consistency like OCR, Object detection, classification, Speech-to-text (STT) and more. Interfaze has outperforms large labs across 9 frontier benchmarks like OCRBench V2, RedCOCO and more. Full benchmarks: https://interfaze.ai/leaderboards Read paper: https://arxiv.org/abs/2602.04101
Interfaze offers an AI model designed for deterministic developer tasks, combining specialized DNN/CNN models with LLMs to deliver deterministic outputs across OCR, scraping, classification, STT, translation, and more. It emphasizes high-accuracy structured outputs, built-in tools, and a Web engine for scraping with guardrails and safety features.
Interfaze merges specialized DNN/CNN models with large language models to perform deterministic tasks for developers. It provides OCR, web scraping, classification, speech-to-text, translation, and other capabilities, with a custom web engine for scraping protection, built-in tools, and a programmable guardrail system for safety. The platform is OpenAI API compatible and SDK-friendly, offering task-specific routing to the best model and support for multiple modalities (text, images, audio, files, video).
Who it’s for: Developers and teams building applications requiring deterministic, high-accuracy outputs for tasks such as OCR, web scraping, STT, translation, and structured data extraction.
mentions beta pricing, updates, benchmarks, and documentation; references to performance benchmarks and integration with various SDKs
A new model architecture that outperforms SOTA LLMs on deterministic tasks that require high consistency and accuracy
Interfaze is an AI model built on a hybrid DNN+CNN and transformer architecture designed for deterministic developer tasks including OCR, web scraping, object detection, and classification, delivering structured output with confidence scores.
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How Interfaze’s homepage introduced itself over the years — each line is the page title the web actually saw, linked to that moment’s archived capture.

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