PDF to text, page by page, for LLM prompts and RAG chunks
Turn PDF links into clean text split per page — ready to chunk, embed or paste into an LLM prompt with page-level citations. Example: the Bitcoin whitepaper and the "Attention Is All You Need" paper.
Input
Output fields
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The PDF Extractor & Parser – Bulk PDF to Text with Metadata Actor is ready to run with the inputs already set for "PDF to text, page by page, for LLM prompts and RAG chunks". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The PDF Extractor & Parser – Bulk PDF to Text with Metadata Actor will start running based on the input automatically. You can also change all the input fields, like PDF URLs, also output text per page, and more, to match your specific use case.
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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 url, error, page count, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "PDF to text, page by page, for LLM prompts and RAG chunks" task via API.
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Connect "PDF to text, page by page, for LLM prompts and RAG chunks" with 100+ integrations, or run it via API or MCP.
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