Pricing

from $10.00 / 1,000 pdf processeds

PDF to Structured Data (JSON/CSV)

Convert PDF files into clean structured JSON or CSV: text per page, reconstructed lines, optional table detection, and document metadata.

Pricing

from $10.00 / 1,000 pdf processeds

Rating

0.0

(0)

Developer

Rosario Vitale

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What it does

📄 Text extraction — full text of every page, in natural reading order.
📐 Line reconstruction — text items are grouped by position into real lines, not a jumbled blob.
📊 Table detection (optional) — heuristically splits rows into cells so you can rebuild tables.
🏷️ Metadata (optional) — title, author, producer and creation date when present.
🔁 Batch — pass many PDF URLs in a single run.

Input

Field	Type	Description
`pdfUrls`	array of strings	Direct links to the PDF files (required).
`extractTables`	boolean	Detect tables and return rows of cells. Default `false`.
`extractMetadata`	boolean	Include document metadata. Default `true`.
`maxPages`	integer	Max pages to read per PDF. `0` = all. Default `0`.

Example input

{
    "pdfUrls": [
        "https://raw.githubusercontent.com/mozilla/pdf.js/master/web/compressed.tracemonkey-pldi-09.pdf"
    ],
    "extractTables": false,
    "extractMetadata": true,
    "maxPages": 0
}

Output

One dataset item per PDF:

{
    "url": "https://.../document.pdf",
    "success": true,
    "numPages": 14,
    "pagesExtracted": 14,
    "metadata": { "Producer": "pdfeTeX-1.21a", "Creator": "TeX", "CreationDate": "..." },
    "pages": [
        {
            "pageNumber": 1,
            "text": "Trace-based Just-in-Time Type Specialization ...",
            "lines": ["Trace-based Just-in-Time Type Specialization ...", "Languages"],
            "tables": [["Cell A", "Cell B"], ["1", "2"]]
        }
    ],
    "fullText": "Trace-based Just-in-Time Type Specialization ..."
}

Export the dataset as JSON, CSV, Excel, or HTML straight from the run, or pull it through the Apify API.

Common use cases

Extract data from invoices, receipts, price lists, and bank statements.
Feed PDF text into search, RAG pipelines, or LLMs.
Turn reports and catalogs into spreadsheets.
Archive and index document text at scale.

Notes & limits

Works on text-based PDFs. Scanned/image-only PDFs contain no selectable text, so they need OCR (not included in this version).
Table detection is a position-based heuristic — great for clean, grid-like tables, approximate for complex layouts.
pdfUrls must be direct links to the PDF file (not a viewer page).

Pricing

Pay-per-result: you are billed per PDF successfully processed. Failed downloads/parses are returned with success: false and are not charged.

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