Metadata Views

AI Document
Data Extraction

Extract structured data from PDFs, contracts, invoices, images, and any document type. No templates, no OCR rules. Describe the fields you need, and AI extracts them into a searchable grid.

Create a Metadata View in seconds

80% of your data is trapped in unstructured documents

Contracts, invoices, claims, research papers, product photos. The fields you need are buried in files that no spreadsheet can search. Someone has to open each one, find the data, and type it into a spreadsheet. It takes hours, it's error-prone, and it has to be redone every time new documents arrive.

15 min

Average time to manually extract data from a single contract

80%

Of enterprise data is unstructured and trapped in documents

< 1 min

Time to extract the same data with Metadata Views

No templates. No rules. Just describe what you need.

How AI Document Extraction Works

Traditional document processing tools need rigid templates that break when layouts change. Metadata Views uses AI that reads documents like a human, not pixel coordinates.

1

Describe what you're looking for

"Real estate purchase agreements." "Customer support transcripts." "Product photography." Just say what the files are. AI scans your workspace and finds them.

Describe your View
AI finding matching files
2

AI designs your schema

Gemini 2.5 Pro reads your matched files and suggests columns with types, descriptions, and real example values from your data. Edit anything. Add your own fields. You control the schema.

AI-suggested columns with example values
3

Extract, search, and act

AI reads every matched file and populates your grid. Filter by any field. Sort by any column. Re-extract when files change. Your unstructured data is now a queryable database.

Filter and query your extracted data
Active filters on structured data

Intelligent document processing without rigid templates

Template-based IDP tools need pixel-perfect layouts. When a vendor changes their invoice format, your extraction pipeline breaks. Metadata Views uses AI that understands document content, not coordinates.

AI-Native, Not OCR

No template zones. No regex rules. AI reads documents like a person and pulls the right fields regardless of layout.

Every File Type

PDFs, images, Word docs, spreadsheets, presentations, and text files. If Fastio can read it, Views can extract from it.

Incremental Extraction

Add new columns without reprocessing. Re-extract individual fields when files change. Only the delta runs.

Schema Suggestions

Don't know what fields to extract? AI analyzes your files and recommends columns with types and example values from your actual data.

Automatic File Matching

Describe the content type and AI finds the relevant files. New uploads are matched automatically. No manual assignment required.

Multiple Views Per File

A contract can be in a "Legal Review" View tracking renewal dates and a "Finance" View tracking payment terms. Different schemas, same file.

Extract data from any document type

Teams use Metadata Views to turn manual review processes into searchable, filterable knowledge.

Legal & Contracts

Upload 500 contracts. Extract effective dates, counterparties, renewal terms, governing law, and payment amounts. Filter to find every contract expiring in the next 90 days.

Before: 15 min per contract, one paralegal.
After: All 500 extracted in minutes. Searchable instantly.

Insurance & Claims

Extract policy numbers, coverage limits, deductibles, named insureds, and expiration dates across your entire book. Flag policies nearing renewal automatically.

Before: Spreadsheets maintained by hand, always out of date.
After: Living database that updates when files change.

Media & Creative

Tag thousands of product photos with subjects, settings, brand mentions, and visual descriptions. Build a searchable asset library from untagged image folders.

Before: Manual tagging. Inconsistent. Incomplete.
After: AI-tagged, filterable, consistent across every file.

Finance & Accounting

Extract line items, totals, vendor names, due dates, and payment terms from invoices. Build a queryable ledger from a folder of unstructured PDFs.

Before: Data entry. Double-checking. Reconciliation.
After: Extracted, sorted, filtered. Ready for review.
Column management
Right-click context menu
Not just extraction. A full interface.

Your data, your way

Extracted data isn't useful if you can't work with it. Metadata Views gives you a full spreadsheet interface to search, filter, sort, and act on your structured data.

Filter by any field

Build complex queries across your extracted data. Find every contract with a specific counterparty or every photo from a specific shoot.

Edit and re-extract

Toggle booleans inline. Right-click to re-extract a single field or an entire row. Add files manually when AI matching misses one.

Saved layouts

Column order, widths, visibility, and sort state persist per workspace. Your View looks the same every time you open it.

Automate with AI agents

The MCP server exposes Views programmatically. Agents can create schemas, match files, trigger extraction, and query results without any human interaction.

preview-match — Find matching files
suggest-fields — AI schema design
extract-all — Batch extraction

Available on every plan

Start extracting on the free plan. Column and file caps scale as you upgrade, so you don't need to commit before you see results.

Free through Pro: 10 custom columns per View
Business: 50 custom columns per View
No credit card required to start

Stop copying data out of documents by hand

Create your first Metadata View in under a minute. 50 GB free, no credit card required.