🔎 Use case · Research & documents / OCR

What's the best AI tool for research and documents (including OCR)?

Short answer

For researching your own documents, Gemini Notebook (formerly NotebookLM) is the best place to start: it's free, answers only from the sources you upload, and turns them into reports, slides and audio overviews. For heavy multi-step analysis of very long material, Google's new Gemini 4 Argon has a 1M-token limit. If you need to turn piles of scanned PDFs into clean text first, use the free, open Indra OCR.

Updated Oct 15, 2026 · 3 tools ranked · Top pick: Gemini Notebook (formerly NotebookLM) · How we rank

The ranking

  1. #1

    Gemini Notebook (formerly NotebookLM)

    Established pick

    Best for: Turning your own documents into answers, reports and study aids, with answers grounded in your sources.

    Verdict: Upload your sources and ask questions. Answers stay grounded in what you provided, which cuts down on made-up facts. It also generates reports, mind maps, audio and video overviews, data tables and slide decks from the same sources. Google renamed NotebookLM to Gemini Notebook in July 2026.

    Price: Free (up to 50 sources per notebook). Higher limits with Google AI Plus, Pro or Ultra. (checked 2026-10-15)

    Try Gemini Notebook →notebooklm.google
  2. #2

    Gemini 4 Argon

    New · Issue #1

    Best for: Heavy work like large codebase refactors, finance and legal analysis, long-document and video understanding.

    Verdict: The biggest model release of the fortnight, with a 1M-token unified input-output limit. Google says it ranks #1 on the Vals Index. The intro API price is aggressive but doubles on Dec 1. Consumers need a Google AI Pro or Ultra plan, and it isn't on the free API tier.

    Price: API $2 per 1M input / $10 per 1M output tokens through Nov 30, 2026, then $4 / $20. Consumer access on Google AI Pro/Ultra in the Gemini app. (checked 2026-10-15)

    Try Gemini 4 Argon →gemini.google.com · Official details · Read in Issue #1
  3. #3

    Indra OCR (Datalab)

    New · Issue #1

    Best for: Anyone feeding piles of PDFs or scans into an AI workflow on plain CPUs.

    Verdict: A 1M-parameter model that, by Datalab's benchmarks, reads up to 49 pages/second on 32 CPU cores and outputs markdown or JSON with layout and reading order. It's honest about its limits: no handwriting, and complex tables lose structure. For clean print, it's an easy pip install.

    Price: Free open weights (Hugging Face lists an OpenRAIL license). Datalab's managed API has a free tier. (checked 2026-10-15)

    Try Indra OCR →huggingface.co · Official details · Read in Issue #1

⚡ Try this use case in 30 seconds

Upload 3-10 sources to Gemini Notebook, then paste:

Using only these sources:
1) Summarize the main argument of each source in 2 sentences.
2) Where do they agree, and where do they contradict each other? Quote and cite each claim.
3) What important question do none of them answer?
4) Write a one-page brief for [audience] on [topic], with citations, and flag anything you're unsure about.

Open Gemini Notebook →

FAQ

Is NotebookLM still free?

Yes. NotebookLM was renamed Gemini Notebook in July 2026 and still has a free version with up to 50 sources per notebook. Google AI Plus, Pro and Ultra plans raise the limits.

What's the best free OCR for AI workflows?

Indra OCR from Datalab is a free open-weights model that turns PDFs and scans into markdown or JSON with layout and reading order. It doesn't handle handwriting, and complex tables lose structure.

How much does Gemini 4 Argon cost?

Through Nov 30, 2026 the API costs $2 per 1M input tokens and $10 per 1M output tokens, then $4 / $20. In the Gemini app it requires a Google AI Pro or Ultra plan.

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