An annual report is 20,000+ words of dense financial data, management commentary, and buried signals. Reading one carefully takes hours — and analysts rarely read just one. Between 10-Ks, earnings releases, and research reports, the reading backlog is a real bottleneck.

PapersGPT turns your PDF library into a research assistant for finance. It reads annual reports, extracts data, and traces the logic connecting numbers to strategy — with every answer linked to the exact page in the source document.

How Analysts Use PapersGPT

1. Extract financial data without re-reading

Ask directly against a 10-K or annual report PDF:

"What was revenue, net profit, and operating margin for fiscal 2025, and what were the year-over-year changes?"

The answer comes back with the source page highlighted — no transcription errors, no manual scanning.

2. Trace the logic behind the numbers

Financial reading isn't just data — it's causal chains. PapersGPT connects them:

"How did the rise in AI-related capital expenditure affect operating margins, and what does management say about the payback period?"

You get a narrative answer with citations into the report's own language, the way a senior analyst would read it.

3. Compare companies side by side

Load the latest annual reports of 3-5 peers into one collection and ask:

"Compare revenue mix, margin trends, and capex priorities across these five companies. Where are their strategies diverging?"

Multi-PDF analysis (up to 300 papers) turns comparative research into a single conversation.

4. Keep research confidential

Pre-earnings research and private company documents stay private: PapersGPT's built-in local models run fully offline — no document ever leaves your machine.

A Real Example: Reading Microsoft's Annual Report

Reading Microsoft's 2024 fiscal year annual report manually — 23,000 words across six business segments — takes most analysts around 12 hours. With PapersGPT, analysts working through the same document reported completing core reading and data extraction in about one hour, with the AI connecting scattered figures into logical chains: revenue growth → segment mix → capex strategy → margin impact.

That's the difference between reading and analysis — the AI handles the reading, you focus on the judgment.

Which Models Do Analysts Use?

PapersGPT supports 30+ models including GPT-5.6, Claude Sonnet 5, Gemini 3.1, DeepSeek V4, Kimi K3, and GLM-5.2. For financial work, the choice matters less than the grounding: every number is traceable to a source PDF, so you can verify before you act.

FAQ

Is this compliant with my firm's data policies? That depends on your firm. PapersGPT supports fully local, offline models with zero data leaving your machine — the safest option for confidential research. Check your firm's AI policy for cloud model use.

Can it analyze earnings call transcripts? Yes. Save transcripts as PDFs in Zotero and chat with them exactly like annual reports — ask about guidance language, segment commentary, or tone shifts.

Does it handle non-US filings? Yes. Zotero manages PDFs from any jurisdiction, and PapersGPT reads them in their original language (including Chinese, Japanese, and German filings) with translation available on request.

Is there a free way to try it? Yes — the free tier includes unlimited local models, plus 15 cloud chats (then 5/day) with your own API key. Paid plans start at $7/month with 30 AI chats included — no API key needed; lifetime licenses from $39.

Read Less, Analyze More

Try PapersGPT for financial research — import your first annual report and ask a question you'd normally spend an hour answering.