Interfaze
A new model architecture because transformers are not enough
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What is Interfaze?
Interfaze is an AI model and API built for deterministic developer tasks that need high consistency, verifiable outputs, and structured data. The website positions it as a hybrid system that combines specialized DNN/CNN models with LLMs so it can handle OCR, scraping, classification, speech-to-text, translation, and related workflow-heavy tasks.
A major theme of the site is that Interfaze is not trying to be a general-purpose chat model that replaces everything. Instead, it focuses on outputs developers can reliably build on, such as bounding boxes, confidence scores, JSON schemas, speaker labels, and extracted fields from documents and web pages.
The product is OpenAI API compatible, so it can be used with common AI SDKs by swapping the base URL to Interfaze’s endpoint. The site highlights built-in tools like web search, code sandboxing, and custom scraping support, plus programmable guardrails and auto-reasoning for more complex requests.
Interfaze is aimed at developers and teams that process documents, websites, audio, or structured records at scale. The positioning on the site suggests it is especially useful where accuracy, repeatability, and machine-readable outputs matter more than open-ended creative generation.
Interfaze pricing
Pricing model: Freemium
The website lists usage-based pricing at $1.50 per million input tokens and $3.50 per million output tokens. Caching is included, while observability and logging are marked as coming soon. The homepage does not show a free tier, monthly subscription plans, or bundle pricing, so the public pricing shown is the token-based model.
Interfaze pros
- Deterministic outputs for repeatable workflows
- OpenAI-compatible chat completions API
- Works with common AI SDKs
- Strong OCR and document extraction focus
- Returns bounding boxes and metadata
- Supports structured JSON output
- Built for web scraping and extraction
- Handles speech-to-text and diarization
- Supports translation workflows
- Includes object detection capabilities
- Supports GUI detection use cases
- Offers built-in web search
- Includes code sandboxing
- Programmable guardrails for safety
- Auto-reasoning for complex tasks
- Large 1M-token context window
- Multimodal input support across text, images, audio, files, and video
- Caching is included
- Designed for high consistency at scale
- Fast specialized-task execution under 5 seconds
- Includes observability and logging roadmap
- Custom web engine for bot-protected sites
- Supports function calling and streaming
- Claims high structured output accuracy
Interfaze cons
- Observability and logging are not yet available
- Reasoning is available but disabled by default
- Specialized focus may not suit open-ended creative chat
- Only one task per request is mentioned in the launch materials
- Output formats can be fixed for some task modes
- Still in beta on the website
- No clear free tier is listed on the homepage
- Pricing page does not show usage bundles or seat plans
- Best suited to developer workflows rather than casual users
- Some features depend on task-specific schema setup
- Web scraping success may vary by site protections
- Not presented as a full general LLM replacement
Frequently asked questions about Interfaze
What is Interfaze built for?
Interfaze is built for deterministic developer tasks that need consistent, machine-readable results. The website highlights OCR, scraping, classification, speech-to-text, translation, object detection, GUI detection, and structured extraction as core use cases.
Is Interfaze compatible with OpenAI SDKs?
Yes. The site says it is OpenAI API compatible and works with common SDKs such as the OpenAI SDK, Vercel AI SDK, and LangChain. Developers are instructed to change the base URL to the Interfaze endpoint and use their API key.
What kinds of inputs does Interfaze support?
The specs on the website list text, images, audio, files, and video as supported input modalities. That makes it suitable for workflows that combine documents, screenshots, recordings, and other media in one pipeline.
What is the context window and output limit?
The website lists a 1 million token context window and a maximum output size of 32,000 tokens. That suggests it is designed to handle long documents, large transcripts, and other high-volume inputs.
How does Interfaze help with OCR?
For OCR and document extraction, the site shows that Interfaze can return not only text but also structured metadata like confidence scores and bounding boxes. It is positioned for complex layouts, documents, and image-based extraction workflows.
Can Interfaze extract structured JSON?
Yes. The site repeatedly emphasizes structured output and shows examples using schemas for IDs, LinkedIn pages, translation outputs, and audio transcription. It is designed to return values that fit a developer-defined schema rather than only free-form text.
Does Interfaze support speech-to-text?
Yes. The website includes STT and diarization examples, showing that it can transcribe audio and assign speaker segments. It is presented as useful for noisy, multi-speaker audio and other transcription-heavy workflows.
What built-in tools does Interfaze offer?
The website highlights built-in web search, a code sandbox, custom scraping for protected sites, and programmable guardrails. These tools are meant to help the model gather context and complete developer workflows with less external glue code.
What does reasoning mean on Interfaze?
The specs say reasoning is available but disabled by default. The site presents it as an option for more complex tasks, which suggests developers can enable it when a request needs additional step-by-step handling.
How is Interfaze priced?
The public pricing shown on the website is usage-based at $1.50 per million input tokens and $3.50 per million output tokens. The site also says caching is included, while observability and logging are still coming soon.