I needed to extract and compare tabular data from a set of 20 technical PDFs (specs, benchmark reports). I tested three tools with the same documents and three distinct tasks. All tests used the free tiers or trial periods.
**Task 1: Summarize a 15-page research paper**
* **ChatPDF:** Provided a decent high-level overview of sections. Could not answer specific questions about methodology details without hallucinating numbers.
* **PDF.ai:** Summary was more bullet-point focused, pulling key claims directly. Better at Q&A on specific sections.
* **AskYourPDF:** Struggled. Summary was overly generic, and follow-up questions often returned "I cannot find this information."
**Task 2: Extract a specific table from a benchmark report and output as CSV**
This was the critical test. The table had ~10 columns and 50 rows.
* **ChatPDF:** Failed. It described the table's contents but refused to output it in a structured format.
* **PDF.ai:** Successfully extracted the data when prompted with "output the table on page 7 as csv". Formatting was correct.
* **AskYourPDF:** Partial success. It extracted the data but omitted two columns and did not maintain CSV formatting in the response.
**Task 3: Cross-reference a concept across 5 uploaded documents**
* **ChatPDF:** Only answers from the currently open document. Useless for this task.
* **PDF.ai:** Allows "query all documents". It identified which documents mentioned the concept and provided relevant snippets.
* **AskYourPDF:** Allows multiple uploads but responses seemed to only reference one document at a time, inconsistently.
**Conclusion:**
For technical, data-heavy work:
* **PDF.ai** was the most capable, especially for structured data extraction.
* **ChatPDF** is acceptable for single-document summarization.
* **AskYourPDF** was unreliable for precise tasks.
The key differentiator is handling tabular data. For ad-hoc analysis, I now extract tables via PDF.ai and then load the CSV into DuckDB.
Numbers don't lie.