Local AI · your documents stay on your machine

Messy documents in.
Clean, reviewed data out.

Point it at a folder of PDFs, scans, Word and Excel files. It works out which ones matter, pulls out the fields you define, sends anything uncertain to a human, and exports one standardized spreadsheet, for any kind of document.

Documents processed
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Waiting for review
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Extracted
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Model
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How it works

Six stages, one screen each. Every stage is visible and correctable.

  1. 01

    Ingest

    PDFs, scans, Word, Excel, images. Per-page OCR fallback for scanned or broken-font pages.

  2. 02

    Triage

    Your plain-English rules decide what's in scope, so irrelevant attachments never reach extraction.

  3. 03

    Extract

    A local LLM fills your fields, with a confidence score and a reason for every blank.

  4. 04

    Review

    Only uncertain fields need a human. Side-by-side original, keyboard-driven approve & next.

  5. 05

    Export

    One standardized Excel/CSV per project: approved rows, your columns, your labels.

  6. 06

    Fulfil

    Turn an approved request into a task: invite vendors, draft emails, track delivery and invoice.

Start from a template

Ready-made fields and relevance rules for common document types. Edit anything before you create.

Private by default

Runs on your own machine with Ollama. Documents never leave your network.

One app, many verticals

Each project has its own rules, fields and sources. Add a new document type without writing code.

Portable templates

Export a project's template as JSON and import it anywhere, or start from a ready-made one.

Built for messy inputs

Image-only pages, broken PDF fonts, Word checkbox forms: the edge cases are handled, not ignored.