Backed by
Combinator
A model built for deterministic tasks
Accurate, verifiable output in one call.
A new model architecture for OCR, audio understanding, structured data extraction and more, built for the highest accuracy, precision and consistency.
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Trusted by builders at
Consistency
#1 on consistency and vision benchmarks
Verifiable
Confidence scores, evidence, bounding boxes
Multimodal
Text, images, audio, files and video
Configurable
Truly controllable beyond prompting with type-safety
Multilingual
100+ languages on every modality
Open Weight
Open weight option available
One model you trust instead of a shaky pipeline
Documents and audio in, structured output back. No OCR tool, speech API, classifier, LLMs and glue code to wire together.
Two models, one API
Interfaze 1 for the highest accuracy, Interfaze 1.1 Lite with open weights you can self-host.
Our flagship model for the highest accuracy on deterministic tasks.
Input
/ MTok
Output
/ MTok
Context window
1M tokens
Max output
32k tokens
Reasoning
Available
Input
Text · Images · Audio · File · Video
Smaller open weight model. Available for self-hosting.
Input
/ MTok
Output
/ MTok
Context window
128k tokens
Max output
32k tokens
Reasoning
Available
Input
Text · Images · Audio · File
Works with the SDK you already use
Official TypeScript and Python SDKs, and OpenAI compatible, so the OpenAI SDK, Vercel AI SDK and LangChain work unchanged.
Interfaze SDK
Vercel AI SDK
LangChain SDK
import { Interfaze, responseFormat } from "interfaze";
import { z } from "zod";
const interfaze = new Interfaze({
apiKey: "<your-api-key>"
});
const IDSchema = z.object({
first_name: z.string().describe("First name on the ID"),
last_name: z.string().describe("Last name on the ID"),
dob: z.string().describe("Date of birth on the ID"),
driver_licence_number: z.string().describe("Driver licence number on the ID"),
});
const response = await interfaze.chat.completions.create({
messages: [
{
role: "user",
content: [
{ type: "text", text: "Extract the details from this ID" },
{
type: "image_url",
image_url: {
url: "https://r2public.jigsawstack.com/interfaze/examples/id.jpg",
},
},
],
},
],
response_format: responseFormat(z.toJSONSchema(IDSchema), "id_schema"),
});
console.log(JSON.parse(response.choices[0]?.message.content ?? "{}"));Overview
OCRBench V2
olmOCR
RefCOCO
VoxPopuli-Cleaned-AA
SOB Value Acc
Spider-2.0-Lite
GPQA Diamond
MMMLU
MMMU-Pro
Radar chart
| Benchmark | Interfaze-1 | Interfaze-1.1-Lite | Gemini-3.8-Flash | Claude-Sonnet-5 | GPT-5.4-Mini | Grok-4.3 |
|---|---|---|---|---|---|---|
OCRBench V2 Native OCR | 70.7% | 60.9% | 63.9% | 59.2% | 52.7% | 54.7% |
olmOCR Complex document processing | 85.7% | 83.8% | 82.3% | 83.5% | 80.1% | 81.9% |
RefCOCO Object detection (NL prompts) | 82.1% | 83.8% | 80.9% | 69.2% | 67.0% | 25.0% |
VoxPopuli-Cleaned-AA ASR (speech recognition) | 2.4% | 3.0% | 4.0% | — | — | — |
SOB Value Acc Structured output | 80.5% | 81.5% | 80.2% | 79.3% | 75.1% | 78.4% |
Spider-2.0-Lite Text-to-SQL | 52.9% | 48.9% | 46.7% | 50.6% | 26.7% | 45.9% |
GPQA Diamond PhD-level problem solving | 92.4% | 85.9% | 91.4% | 78.3% | 82.8% | 73.6% |
MMMLU Multilingual Q&A | 90.9% | 87.8% | 88.1% | 87.3% | 75.3% | 89.7% |
MMMU-Pro Multimodal understanding | 71.1% | 73.2% | 64.2% | 53.3% | 40.4% | 68.7% |
*Bold cells mark the leader on each benchmark. '—' means the model doesn't support that modality.
Every value comes back with its box and confidence
Check any field against the page, and send low-confidence values to review instead of trusting them blindly.
Type safe output, zero hallucinations
Bring your own JSON schema. Every response comes back with the consistent output structured, confidence scores, metadata like bounding boxes that are machine safe.
100+ languages, no translation step
Text, audio and images in over 100 languages, read and translated in the same call.
Specialised task-specific models, one transformer
A Mixture-of-Architecture model (MoA): task-specific DNNs joined by a transformer trained for each task. The precision of specialized models with the flexibility of an LLM.
Get an API key and start calling. Turn on zero data retention per request.
Region
Global availability
Data
Zero data retention header
Hardware
Hosted by us
Pricing
Pay per token
Your own Interfaze deployment in our cloud, with volume pricing, SLAs and a private support channel.
Region
Region lock available
Data
SOC2 & HIPAA agreements
Hardware
Dedicated GPUs, hosted by us
Pricing
Volume, with SLAs
Interfaze 1 deployed inside your own cloud, so data never leaves your network.
Region
Your cloud's region
Data
Stays in your network
Hardware
Your GPUs
Pricing
Custom
Download Interfaze 1.1 Lite from Hugging Face and run it on your own hardware either on-prem & air-gapped.
Region
Wherever you run it
Data
Stays on your machine
Hardware
Your GPUs
Pricing
Custom
FAQs
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Deterministic accuracy for your workflows.
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