Typesheet compared
Importers, parsers and Typesheet solve different problems. Here’s which fits.
At a glance
| Embedded importer | Document parser | Typesheet | |
|---|---|---|---|
| Built for | Your customers, inside your app | Reading hard documents | Files and agents coming to you |
| Setup | An engineering project | An API integration | A link, no code |
| The sender needs | An account in your app | Nothing | Nothing but the link |
| A wrong value | Fixed in their session | A confidence score | Refused, with the reason |
| The next file | Starts over | Starts over | Updates what's there |
| AI agents | Not built in | Through wrappers | Built-in MCP server |
Pick an embedded importer if
- Your customers upload data into your product.
- You have engineers to build it in.
- You need it under your own brand.
Flatfile, OneSchema, Dromo, nuvo, CSVBox
Pick a document parser if
- Most of what you get is scans or handwriting.
- The content is nested, not a table.
- You need a ready-made connector to one system.
Questions
No. There's nothing to embed. Your collection has a link, and people send to it.
No. Set up the fields, share the link, done.
No. The link is all they need, and it never shows them what's already there.
It reads PDFs and screenshots, but reading is the first step. The point is checking every value.