Define the fields.
Skip the templates.

Tell Steve which fields you need and their types. It reads receipts, forms, labels, shelf photos, and call recordings it has never seen before and returns structured JSON with a confidence score per field. No zones to draw, no per-merchant templates to maintain.

Business documents organized for structured data extraction.
Inputs
JPEG, PNG, PDF scans, shelf photos, mp3 / wav / m4a up to 5 min
Output
Typed JSON with per-field confidence and transcript for audio
Images
Canonicalised to 4096 px; originals are not retained

What it does for you.

Schema first

Your output schema is the contract. Strings, numbers, dates, booleans, and line-item arrays, named the way your systems expect.

Confidence per field

Every value carries a confidence score. Set a threshold and only doubtful documents reach a person.

Three carriers, one pipeline

Document and photo extraction, shelf recognition against your product gallery, and transcribe-and-extract for audio share the same submissions, queue, and API.

Versioned workflows

Change a field or a prompt and a new version is created. Earlier submissions keep the schema they were processed with.

How it works in practice.

  1. Describe the output

    Fields, types, and plain-language hints for anything ambiguous.

  2. Send a sample

    We test the workflow on your real evidence before it goes live.

  3. Read the JSON

    Results by API, webhook, or straight into the review queue.

Where this earns its keep.

Use cases that lean on extraction the most.

See it work
on your evidence.

See extraction running on your own evidence. Thirty minutes, no slides.

Book a demo 30 minutes. Your use case. Real possibilities.