Interfaze

Interfaze is an AI model built on a novel hybrid architecture that merges specialized DNN/CNN models with LLMs to deliver deterministic, high-consistency outputs for developer tasks. It is OpenAI Chat Completion API-compatible, meaning it works out of the box with any AI SDK. The model targets use cases like OCR, web scraping, speech-to-text, translation, object detection, and classification — all with 98–99% structured output accuracy and sub-5-second latency for specialized tasks.

Key Features:

• Hybrid DNN/CNN + LLM Architecture — Automatically routes tasks to the best specialized model, prioritizing accuracy and speed over pure transformer approaches.
• OCR & Document Extraction — Extract structured data from images, IDs, PDFs, and documents with high accuracy using vision capabilities.
• Smart Web Scraping — Uses a custom browser engine to scrape bot-protected sites and extract structured data from any web page.
• Speech-to-Text (STT) & Speaker Diarization — Transcribe audio files and identify individual speakers with timestamped segments.
• Translation — Translate text into multiple languages simultaneously using structured output schemas.
• Code Sandboxing — Execute code in a secure sandbox environment at no extra infrastructure cost.
• Configurable Guardrails — Programmable content safety filters covering violence, NSFW, hate speech, self-harm, and more for both text and images.
• OpenAI SDK Compatible — Drop in Interfaze by replacing the base URL; works with OpenAI SDK, Vercel AI SDK, LangChain SDK, and n8n.
• Built-in Tools Included — Web search, browser engine, and code sandbox are included in token pricing with no separate infrastructure charges.
• Auto-Reasoning — Enables multi-step reasoning for complex tasks, available as an opt-in feature.
• 1M Token Context Window — Supports up to 1 million input tokens with a 32k max output token limit.
• Run Tasks Mode — Programmatically invoke specific model capabilities (e.g., object detection) for faster, cheaper, fixed-schema outputs.