How to reliably analyze larger PDFs (60–80 pages) with GPT in Zapier?
Hi everyone, we’re currently facing a challenge in automating the analysis of larger PDF documents (60–80 pages) using GPT in Zapier. 👉 Our use case: We want to check formal criteria in documents like real estate reports, such as: - Is a cover page present? - Is there a signature and date? This works well when uploading the PDF directly into ChatGPT via the web app – the model can identify these elements with a good degree of accuracy. However, when using Zapier, we’re running into two major issues: 1. The full PDF (especially longer files) often cannot be parsed or passed to GPT reliably. 2. Even when passing specific text excerpts (e.g., page 1 or the last page), GPT in Zapier tends to hallucinate results rather than strictly confirming whether a signature or cover page is truly present. ❓ What we’re looking for: - What’s the best way to extract and structure PDF contents for reliable GPT analysis in Zapier, Make, or n8n? - Which tools (PDF parsers, converters, etc.) are working well in your setup? - Any best practices for feeding GPT only key pages (e.g., cover and signature pages)? - How do you manage GPT’s context limits in these automation platforms? We would really appreciate any technical advice, workflows, or tools you’ve found to solve this! Thanks a lot in advance, Niklas