What it is
Firecrawl, a company that sells a hosted web-scraping and document-parsing service. The open library is the on-ramp to that paid service.
The library runs on your own machines and reads the common office formats plus text-based PDFs, writing them out in the plain-text format assistants read best. Tables stay tables, footnotes and code are kept, and it is fast enough to run over a whole folder. There are command-line, Python, JavaScript and browser versions.
Scanned or image-only PDFs are the exception. The local tool cannot read them; the whole file is sent to Firecrawl’s hosted service for character recognition, which is billed per page on the paid plans after a small free allowance.
What marketing teams should take from it
- Most of a marketing team’s evidence sits in decks, PDFs and spreadsheets an assistant cannot open as they are. Conversion is the unglamorous first step in the worked example on finding 01.4.
- Local conversion keeps files on your machines. Scanned documents do not, since the whole file goes to the hosted service, which matters for confidential material.
- It produces text, not meaning. It does not summarize, tag or extract claims; those are the assistant’s job afterwards.
- Password-protected files fail, and embedded images come through as descriptions rather than pictures.
Where to start
Run it over the source files behind one recurring brief, such as the analyst reports and case studies for one industry, so the assistant works from text you have checked rather than from whatever it can find. A systems person from marketing ops or IT installs it and keeps it running.
Before any scanned document goes to the hosted service, get a decision from the person who owns data governance, usually security or legal, and keep confidential material on local conversion only.
Keep in mind
The library is open source under the MIT license; the hosted recognition service is priced by the page. Budget the running time as well as the license.