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Summarize PDF

Written from the document, not about it. Runs on your credits in the console.

This one runs on your credits. Written from the document, not about it. Runs on your credits in the console.

Sign in and get 500 free credits every month — enough for many files — then drop the file in the workbench and run summarize pdf there.

Pick a file below to see exactly what it would cost.

Sign in and run it — free credits included (opens in a new tab)

Runs on your credits in the console — 500 free a month, about 4 per megabyte here.

How to summarize pdf

  1. Sign in — 500 free credits a month.
  2. Drop the document, pick a style.
  3. Run Summarize and read the result.

What happens to your file

The document’s text is extracted in reading order and handed to a language model that runs inside Fylane’s sandbox — your file is not sent to any outside AI provider — with instructions to summarise only what is on the page.

A scanned PDF is read with OCR first. Very long documents are summarised from their opening window and the result says so.

Questions

Does it make things up?

The model is constrained to the extracted text and the output is checked against it; it can still mis-weight what matters. Read it as a fast first pass, not a substitute.

What does it cost?

Four credits per megabyte of the document, minimum four.

Do this in code

curl -X POST https://api.fylane.dev/v1/jobs \
  -H "Authorization: Bearer $FYLANE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "file_id": "<file id>",
    "operation": "ai.summarize",
    "options": {
      "style": "concise"
    }
  }'

The same operation, ai.summarize — Concise, detailed or bullet summaries from the in-sandbox model — the document never leaves Fylane. Upload first with the quickstart; every option is on the operations page. 500 free credits a month, then $5 per thousand.