PDF to JSON Parser

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Convert PDF documents into structured JSON. Supply a list of public PDF URLs — the actor downloads each file, extracts text from every page, and returns clean, organized output. Add your OpenAI API key to get an AI-powered structuring pass that turns raw text into categorized JSON fields.

What it does

• Accepts a list of public PDF URLs (up to 50 MB per file)
• Downloads each PDF to temporary storage and extracts text per page using native PDF parsing
• Processes every page for complete coverage — no pages skipped
• Optionally runs an AI structuring pass (OpenAI GPT-4o-mini or GPT-4o) that organizes the raw text into titled sections, tables, key fields, and metadata
• Returns one dataset record per PDF with the full extracted text, per-page breakdown, and AI output
• Saves error records for PDFs that fail to download or parse — the run continues

Use cases

• Invoice and receipt extraction for accounting automation
• Contract and legal document analysis
• Academic paper indexing and summarization
• Form data extraction from government or regulatory PDFs
• Report parsing for data pipelines
• Bulk document conversion for RAG / LLM pipelines

Input

Output

One dataset record per PDF:

Example record (native extraction only)

{
"sourceUrl":"https://example.com/invoice-2024-01.pdf",
"pageCount":2,
"rawText":"Invoice #INV-2024-001\nDate: January 15, 2024\n...",
"pages":"[{\"page\":1,\"text\":\"Invoice #INV-2024-001...\"},{\"page\":2,\"text\":\"Payment terms...\"}]",
"structuredJson":null,
"model":null,
"processedAt":"2026-06-07T12:00:00.000Z",
"status":"success",
"errorMsg":null
}

Example record (with AI structuring)

{
"sourceUrl":"https://example.com/invoice-2024-01.pdf",
"pageCount":2,
"rawText":"Invoice #INV-2024-001\nDate: January 15, 2024\n...",
"pages":"[{\"page\":1,\"text\":\"Invoice #INV-2024-001...\"}]",
"structuredJson":"{\"title\":\"Invoice #INV-2024-001\",\"date\":\"January 15, 2024\",\"key_fields\":{\"invoice_number\":\"INV-2024-001\",\"amount\":\"$1,250.00\"}}",
"model":"gpt-4o-mini",
"processedAt":"2026-06-07T12:00:00.000Z",
"status":"success",
"errorMsg":null
}

Notes

• Native extraction works on any text-based PDF (invoices, reports, forms, contracts). Scanned image-only PDFs return empty text — OCR for image PDFs is not currently supported.
• AI structuring is additive. Even when the OpenAI call fails (rate limit, invalid key, network error), the actor returns the native extraction record with structuredJson: null rather than failing the run.
• Custom prompts let you tailor the structuring output for a specific document type. For example: "Extract all line items as an array of {description, quantity, unit_price, total}".
• File size limit: 50 MB per PDF. Larger files are rejected with an error record.
• OpenAI costs are billed to your API key separately from actor usage.