crw-parse — local file extraction

SkillWeb & browsing

Parse a local or remote FILE (PDF) into markdown or structured JSON with fastCRW. Use when the source is a file on disk — "parse this PDF", "extract text from this document", "read this report", "convert PDF to markdown". Routing rule: URL → use crw-scrape; file on disk → use crw-parse. Step 5 of the crw workflow ladder.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the crw-parse — local file extraction skill

What this skill tells your AI

The instructions your AI receives, as published by us/crw in skills/crw-parse/SKILL.md and read by ahel’s review.

When to use

  • The source is a file on disk (PDF), not a web page.
  • Step 5 in the crw ladder. If you have a URL, use crw-scrape (step 2) instead — scrape handles remote PDFs via URL. If you want a typed JSON object from a page, see crw-extract (step 6).
  • PDF only. DOCX, XLSX, and other office formats are not yet supported (unlike Firecrawl's document endpoint). If you have a non-PDF document, convert it to PDF first or use an external tool.

Quick start

CLIcrw scrape auto-detects a local file path and routes to the PDF parser; there is no separate crw parse subcommand:

crw scrape report.pdf                         # → markdown to stdout
crw scrape report.pdf --format json --extract '{"type":"object","properties":{"title":{"type":"string"}}}' -o out.json

MCP (inside an agent harness):

crw_parse_file(
  contentBase64="<base64-encoded PDF bytes>",
  filename="report.pdf",
  formats=["markdown"],
  maxLength=0
  # For structured JSON output:
  # formats=["json"],
  # jsonSchema={"type":"object","properties":{"title":{"type":"string"}}}
)

REST — multipart upload, 50 MB limit, PDF only:

curl -X POST "$CRW_API_URL/v2/parse" \
  -H "Authorization: Bearer $CRW_API_KEY" \
  -F "file=@report.pdf" \
  -F 'options={"formats":["markdown"]}'

Options

NeedCLI (crw scrape <path>)MCP fieldREST options field
Output format--format markdown|json|text|linksformatsformats
Structured JSON--extract '<schema>'jsonSchema + formats:["json"]jsonSchema + formats:["json"]
AI summary--summaryformats:["summary"]formats:["summary"]
Summary prompt--prompt "TEXT"summaryPrompt
Limit output charsmaxLength (0 = unbounded)maxContentChars
Force parserparsers:["pdf"]parsers:["pdf"]

Formats json and summary require a server-side LLM configured in [extraction.llm] of the server config (or via crw setup for the CLI).

Honest gaps

  • PDF only. The server rejects anything without a %PDF- magic header.
  • No OCR. Scanned/image-only PDFs have no extractable text layer; they return empty markdown with a warning. There is no attempt_scanned option — scanned PDFs are a known gap.
  • 50 MB cap on REST uploads (per-route hard limit). The CLI passes bytes in-process, so it shares the same underlying limit.
  • LLM required for json/summary. Without a configured LLM the request returns a 400.

Tips

  • Read the result, don't stream it. For large PDFs, write to .crw/ and grep/head the output: crw scrape big.pdf -o .crw/big.md.
  • MCP requires base64. Read the file in your agent, base64-encode the bytes, pass as contentBase64. The filename field is optional but helps with error messages.
  • Scanned PDFs return empty markdown — no warning field. If the PDF has no extractable text layer, the REST response returns empty markdown with no warning field in the envelope. A warning (e.g. warning: pdf_partial_text) only appears on the CLI's stderr, never in the REST/MCP response. If you get empty markdown, assume a scanned/image-only PDF and handle it at call-site.

See also

  • crw-scrape — fetch a URL (including a remote PDF served over HTTP)
  • crw-extract — typed JSON object from a page against a schema
  • crw — ladder overview and routing rules

Signals

GitHub stars
970
Forks
71
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
crw-parse
Source
github.com/us/crw