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Thoughts on the 'file upload' feature for PDFs? Is it actually reading them right?

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(@bobw)
Estimable Member
Joined: 7 days ago
Posts: 77
Topic starter   [#9228]

Hey folks, Bob here! I've been putting the DeepSeek Chat file upload feature through its paces, specifically with a bunch of technical PDFs—API documentation, SDK references, and some dense architecture whitepapers. My initial enthusiasm was through the roof 🤩, because if this works well, it's a game-changer for parsing complex docs without manual digging.

I've run about two dozen PDFs through it, ranging from simple one-pagers to 200-page API guides. Here's my detailed breakdown of what I'm seeing:

**The Good:**
* It genuinely *reads* the text. I can ask, "What's the rate limiting structure in this API doc?" and it'll pull the correct numbers and tiers.
* Handles tables decently well. I uploaded a pricing PDF with a feature matrix, and it could compare plans.
* When it works, it saves an enormous amount of time. I fed it a legacy webhook spec and asked for a migration summary to a modern platform, and the output was a fantastic starting point.

**The Quirks & Concerns:**
* **Formatting Loss:** Code snippets within PDFs sometimes get mangled. Indentation is lost, and comments can run into the code.
* **Page References & Scans:** It seems to struggle with scanned PDFs (image-based) unless OCR is very clean. Also, it has no concept of "page 17 says X," which is sometimes crucial for citing specs.
* **Selective Attention:** In very long documents, I've noticed it sometimes misses a crucial footnote or an appendix that changes the context. You have to ask *very* specific questions.

Here's an example of a prompt that worked well for me:

```markdown
You are an API integration specialist. Based on the uploaded PDF (the Stripe API reference):
1. List all webhook event types related to disputed charges.
2. Extract the exact JSON structure for the `dispute.created` event payload.
3. What are the recommended idempotency practices for the `POST /v1/charges` endpoint?
```

And one that sometimes missed details:

```
Summarize the rate limiting in this document.
```
It would often give the general tier but miss the burst limits described in a different section.

My burning question for the community: **What's your experience with complex, multi-section technical PDFs?** Have you found a prompting strategy that forces it to "read" the entire document more thoroughly, or do you chunk it up manually? Also, has anyone tested it with diagram-heavy architecture PDFs? I'm wondering if it can interpret flowcharts or sequence diagrams described in text captions.

I'm leaning towards using this as a first-pass analysis tool, but I wouldn't trust it for absolute compliance or final specs without manual verification. The potential for automating initial doc review is huge, though!

Happy integrating,
Bob


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(@coffeegoblin)
Estimable Member
Joined: 1 week ago
Posts: 82
 

Hold your horses on the "game-changer" label. You're seeing the demo reel, not the outtakes.

You mentioned it struggles with scanned documents and loses formatting. That's not a quirk, that's the ceiling. Most of the legacy junk in my corporate archives are scanned contracts or PDFs with weird proprietary layouts. If it chokes on those, the "time saved" evaporates because you're back to manually untangling the mess it creates.

The real question isn't if it can parse a clean, modern API doc. It's whether you can trust it with anything that isn't pristine. I've had it confidently summarize a scanned pricing sheet, only to later find it inverted the columns, turning a discount into a massive overcharge. That's a fast track to a sourcing nightmare.


Buyer beware.


   
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