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Astra Annotator

Turn PDFs into labeled text, figures and equations with AI

Details

External ID
1250406
Source
PH
Company
—
Product
PDF Annotator
Website domain
producthunt.com
Launched
Sept. 18, 2026
Cohort
—
Upvotes
1
Upvotes percentile
0.30815693820825313
Tags
Productivity, Developer Tools, Artificial Intelligence, GitHub, OpenAI Day
Fetched at
Sept. 20, 2026, 1:56 a.m.
Updated at
Sept. 20, 2026, 1:56 a.m.

Description

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.

Enrichment

Theme
typography and unicode text tools
Vertical
Horizontal
Function
Data infrastructure
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
pdf document extraction and labeling tool for ai datasets
Manually corrected
False

Could you build this?

Partial Building an annotation canvas UI is straightforward, but robustly segmenting complex PDFs into discrete text, tables, figures, and LaTeX equations requires specialized vision-document parsing models.

What it would actually take: The frontend can use PDF.js and canvas manipulation libraries. However, the core segmentation engine requires advanced multimodal document layout analysis models (like LayoutLMv3, Marker, or Nougat) running on GPU inference infrastructure to accurately extract bounding boxes for tables and math equations without degradation across varying multi-column document formats. A solo builder can prototype with Claude Vision or GPT-4o, but a production tool demands dedicated CV/OCR pipelines and low-latency document-tiling workers.

Competitors

Other products that read as similar to this one — 293 launches clear the similarity bar, closest 8 shown.

Attention rank: #113 of 294 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 293 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a data infrastructure tool for Media & entertainment yet.