PDF parser: text, metadata, links and form fields as JSON
VindR
Parse PDFs into structured JSON: the text per page, headings as Markdown, the title, author and dates, every link, and the values of filled-in form fields. Good for building your own document pipeline without running a PDF library yourself.
Input
Output fields
Sign up on Apify or log in
The PDF Text Extractor: PDF and Image to Text, with OCR Actor is ready to run with the inputs already set for "PDF parser: text, metadata, links and form fields as JSON". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "PDF parser: text, metadata, links and form fields as JSON" task
The PDF Text Extractor: PDF and Image to Text, with OCR Actor will start running based on the input automatically. You can also change all the input fields, like PDF or image URLs, or web pages, split output by, and more, to match your specific use case.
Receive the "PDF parser: text, metadata, links and form fields as JSON" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as file, status, title, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF parser: text, metadata, links and form fields as JSON" task via API.
Integrate "PDF parser: text, metadata, links and form fields as JSON" into your workflow
Connect "PDF parser: text, metadata, links and form fields as JSON" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay