How does it handle extraction errors?

Validation code catches what the model got wrong (sums, formats, missing fields) and routes those documents back for a second pass.

Can this run on a schedule?

Yes: an automation watches the folder cadence you choose and processes what arrived.

All use cases

Data extraction

Documents in, structure out.

PDFs and messy files become validated structured data: extract, check, file the CSV.

Try now See pricing

Drop the documents

Invoices, reports, forms: the folder in Drive is the extraction queue.

More about Drive

Extract the fields

A model pulls the schema you define from each document; a cheap model handles the easy ones.

More about Multi-Model Chat

Validate with code

Generated checks run over the output: totals reconcile, dates parse, outliers get flagged.

More about Code Execution

File the result

Clean CSVs land beside the sources, versioned, ready for your tools.

More about Drive

Built from these features

Drive

Folders, previews, and lightweight versioning for AI work.

Code Execution

Sandboxed Python, Node, and shell: agents and you, side-by-side.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

Agents

Skills, scoped permissions, persistent memory: any model you pick.

Frequently asked

Ready to work this way?

Create a free account and start in seconds.

Try now

All use cases

Data extraction

Documents in, structure out.

PDFs and messy files become validated structured data: extract, check, file the CSV.

Try now See pricing

Drop the documents

Invoices, reports, forms: the folder in Drive is the extraction queue.

More about Drive

Extract the fields

A model pulls the schema you define from each document; a cheap model handles the easy ones.

More about Multi-Model Chat

Validate with code

Generated checks run over the output: totals reconcile, dates parse, outliers get flagged.

More about Code Execution

File the result

Clean CSVs land beside the sources, versioned, ready for your tools.

More about Drive

Built from these features

Drive

Folders, previews, and lightweight versioning for AI work.

Code Execution

Sandboxed Python, Node, and shell: agents and you, side-by-side.

Multi-Model Chat

GPT, Claude, Gemini, Grok, Llama: pick mid-conversation, cheapest-first.

Agents

Skills, scoped permissions, persistent memory: any model you pick.

Frequently asked

Ready to work this way?

Create a free account and start in seconds.

Try now