pdfintact

Extract tables, text and formulas from PDFs, including scanned pages and broken text layers.

От сообщества: Добавлен пользователем или импортирован; проверьте владельца перед подключениемРаботаетБез входаГлобальныйБесплатноТолько чтение

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    Не нужен: сервер работает без входа

    Extract tables, text and formulas from PDFs, including scanned pages and broken text layers.

    Список инструментов сервера (3)

    Технические названия из tools/list. Нужны только разработчикам.

    convert_pdfConvert a PDF into structured content (tables, charts, formulas, headings, body text) using a two-stage pipeline (layout detection, then a vision-language model) rather than a single VLM call on the raw PDF -- calling a VLM on a raw PDF directly is a known-unreliable pattern for numeric tables. Measured accuracy (500-page real-world benchmark of government/corporate reports, ~51,000 table values checked): tables 95.2% digit-exact, body text 88.8%. This tool reads PDFs a VLM cannot read directly, including scanned pages and PDFs with corrupted/garbled text layers (common in older Japanese academic PDFs). For scanned Japanese documents the numbers hold up (99.4% on the same benchmark). For scanned Arabic, body text does NOT: characters are dropped mid-sentence and quantities can turn into different quantities, so body blocks from scanned Arabic are always flagged confidence:"estimated" -- tables in the same documents stayed exact in our measurement. Strong on Japanese-language documents specifically; the accuracy figures above were measured on Japanese material and are not a claim about every language. Chart values are extracted but are best-effort estimates (about 52% exact match, excluding axis tick labels) and are always flagged confidence:"estimated" in the result -- do not treat estimated chart numbers as authoritative. This is a PAID, ASYNCHRONOUS, per-page-billed operation: credits are reserved from the caller's PDFIntact balance before processing starts, and the response's _meta.credits_remaining shows the balance right after reservation. Processing takes real wall-clock time (roughly 7 seconds/page; a 500-page PDF takes about 42 minutes including a multi-minute cold start), so this tool returns a job_handle immediately without waiting -- call get_result with that job_handle to poll for completion instead of calling convert_pdf again. Always pass idempotency_key; reuse the exact same value if you retry the same request, otherwise retries can double-charge an
    get_resultFetch the status and (once finished) the structured result of a job previously created by convert_pdf. Poll this with the job_handle convert_pdf returned until _meta.state is "done" or "failed" -- do not call convert_pdf again while waiting. job_handle is scoped to the account that created it; handles belonging to a different account are rejected as not found. Requires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.
    get_balanceCheck the current PDFIntact credit balance for the authenticated account (1 page = 1 credit), plus the soonest-expiring credit lot. Useful before submitting a large PDF to convert_pdf, or after an insufficient_credits error to see how many credits are needed and get a purchase link. Requires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.
    pdfintact: подключить к Claude, ChatGPT, Cursor · Connectors.fun