Looking for a tool that actually works for technical docs, not just generic summaries. Tired of marketing fluff. Here's my take after testing the main contenders for engineering workflows.
**ChatPDF**
* Pros: Simple, fast for Q&A on a single doc. Good for quick reference.
* Cons: Weak on multi-document analysis. No project context. Useless for comparing across 10+ PDFs (like RFCs or architecture specs).
**Claude (via Anthropic Console)**
* Pros: Handles massive, dense PDFs. Best for complex reasoning and extracting concepts from research papers.
* Cons: No "project" or workspace concept. You're just uploading files per session. Can be slow. API costs add up.
**Custom GPTs (ChatGPT Plus)**
* Pros: Can build a persistent knowledge base if you combine it with a vector store. Good for recurring queries against a doc set.
* Cons: Requires heavy setup and prompt engineering. Prone to hallucinations on specific details like CLI flags or config snippets.
For 2026, the real need is multi-document, project-aware analysis. None of the standalone "ChatPDF" clones cut it. My current stack:
* Raw processing: `pdftotext` + `grep` for basics.
* For deep Q&A: Claude for single docs, custom GPT with pre-processed chunks for internal knowledge bases.
* Watching open-source tools like PrivateGPT for self-hosted options.
The market is still immature. Most tools are just ChatGPT wrappers with a PDF parser slapped on.