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Astra Annotator

Turn PDFs into labeled text, figures and equations with AI

Tell AI what to find in your documents, then watch editable annotations appear across up to three pages at once. Separate text, figures, tables and equations; add your own labels and notes; export the parts you need. Works with PDFs, Office files and images. Try the paper demo without a key, bring your own API key in the browser, or run locally with Codex App Server. Desktop-first. English, Japanese and Chinese UI. AI usage is billed by your provider.

Top comment

Hi Product Hunt! 👋

Astra Annotator turns a plain-language instruction into visible, editable document annotations. Describe what matters, watch AI label regions across up to three pages at once, then refine the result by hand.

Try it in under a minute:

1. Open the app on a desktop browser.

2. Click ‘Explore a paper’ to inspect saved annotations on an OpenAI research paper. No API key is needed for this demo.

3. Select a region to inspect its text, label or equation, or draw your own annotation.

For a fresh AI run, upload a document and configure your API connection, or run the local Codex App Server version. Try this instruction:

‘Separate the title, body text, figures, tables, equations and captions. Preserve the original wording, return equations as LaTeX, and flag unclear content for review instead of guessing.’

You can let AI create labels or supply exact names and definitions. Export annotated PDFs, image crops, text and structured data. The GIF shows a real GPT-6 Astra run through local Codex App Server; opening the saved demo does not trigger AI inference.

A few practical details: the app is free to use; AI usage is billed by your provider. In browser-only mode, documents are processed in your browser and page images are sent to your configured API when you run AI. Your API key stays in the tab’s memory. Browser Office previews focus on extracted text; use the local document server when original Office layout matters. Review AI output before relying on it.

Try it: https://ryusui-hiro.github.io/DocumentAnnotationAgent/

Source, setup and issue reports: https://github.com/ryusui-hiro/DocumentAnnotationAgent

What would you annotate first: a research paper, a contract, or a spreadsheet? Which part takes the most manual work today?

About Astra Annotator on Product Hunt

Turn PDFs into labeled text, figures and equations with AI

Astra Annotator was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #142 on the daily leaderboard. Tell AI what to find in your documents, then watch editable annotations appear across up to three pages at once. Separate text, figures, tables and equations; add your own labels and notes; export the parts you need. Works with PDFs, Office files and images. Try the paper demo without a key, bring your own API key in the browser, or run locally with Codex App Server. Desktop-first. English, Japanese and Chinese UI. AI usage is billed by your provider.

On the analytics side, Astra Annotator competes within Productivity, Developer Tools, Artificial Intelligence, GitHub and OpenAI Day — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Astra Annotator performed against the three products that launched closest to it on the same day.

Who hunted Astra Annotator?

Astra Annotator was hunted by tatsu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Astra Annotator including community comment highlights and product details, visit the product overview.