Home/Compare/pdfmux vs annotateai

Comparison

pdfmux vs annotateai

Verdict

Pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes; pick annotateai if annotateai uses LLMs to automate the annotation of scientific and medical papers. It's open-source under Apache-2.0, categorized as an LLM Framework and Data & Retrieval tool.

Markdown twin · pdfmux alternatives · annotateai alternatives

GraphCanon updated today

pdfmux logo

pdfmux

NameetP/pdfmux

79pushed Aug 13, 2026
vs
annotateai logo

annotateai

neuml/annotateai

423pushed May 5, 2026

Trust & integrity

Signalpdfmuxannotateai
Maintenance
Very active (1d since push)
As of 1w · github_public_v1
Slowing (110d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of 1w · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

pdfmux
PDF extraction with self-healing and cost-aware mechanisms
annotateai
Automatically annotate papers using LLMs

Stars

pdfmux
79
annotateai
423

Forks

pdfmux
12
annotateai
43

Open issues

pdfmux
4
annotateai
0

Language

pdfmux
Python
annotateai
Python

Adopt for

pdfmux
pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes.
annotateai
annotateai uses LLMs to automate the annotation of scientific and medical papers. It's open-source under Apache-2.0, categorized as an LLM Framework and Data & Retrieval tool.

Persona

pdfmux
-
annotateai
-

Runtime

pdfmux
-
annotateai
-

License

pdfmux
MIT
annotateai
Apache-2.0

Last pushed

pdfmux
Aug 13, 2026
annotateai
May 5, 2026

Categories

pdfmux
Data & Retrieval, Evaluation & Observability
annotateai
Data & Retrieval, LLM Frameworks

Trust and health

Maintenance

pdfmux
Very active (96%)
annotateai
Slowing (36%)

Days since push

pdfmux
1d
annotateai
110d

Open issues (now)

pdfmux
4
annotateai
0

Stars delta

pdfmux
+3 (30d)
annotateai
+1 (30d)

Open issues delta

pdfmux
-2 (30d)
annotateai
0 (30d)

Owner type

pdfmux
User
annotateai
Organization

Full report

annotateai
Trust report

Shared compatibility

  • Python · pdfmux: Python runtime · annotateai: Python runtime

Choose pdfmux if…

  • License: pdfmux is MIT, annotateai is Apache-2.0.
  • Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction.
  • Also covers Evaluation & Observability.
  • pdfmux ships Docker support for self-hosted deployment.
  • You need high accuracy without LLMs or GPUs.

When NOT to use pdfmux

  • Require real-time GPU-based AI processing for speed.
  • Working with non-PDF file formats as sole tool.

Choose annotateai if…

  • License: annotateai is Apache-2.0, pdfmux is MIT.
  • Tags unique to annotateai: ai, artificial-intelligence, large language models, llm.
  • Also covers LLM Frameworks.
  • Need automated annotations for large volumes of scientific or medical papers

When NOT to use annotateai

  • Require detailed, custom annotations that go beyond general LLML capabilities
  • Situations where regulatory approval necessitates human review over machine-generated annotations

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: pdfmux 79 · annotateai 423 (synced Aug 15, 2026).

Common questions

What is the difference between pdfmux and annotateai?
pdfmux: PDF extraction with self-healing and cost-aware mechanisms. annotateai: Automatically annotate papers using LLMs. See the comparison table for live GitHub stats and shared categories.
When should I choose pdfmux over annotateai?
Choose pdfmux over annotateai when License: pdfmux is MIT, annotateai is Apache-2.0; Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; Also covers Evaluation & Observability; pdfmux ships Docker support for self-hosted deployment; You need high accuracy without LLMs or GPUs.
When should I choose annotateai over pdfmux?
Choose annotateai over pdfmux when License: annotateai is Apache-2.0, pdfmux is MIT; Tags unique to annotateai: ai, artificial-intelligence, large language models, llm; Also covers LLM Frameworks; Need automated annotations for large volumes of scientific or medical papers.
When should I avoid pdfmux?
Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool.
When should I avoid annotateai?
Require detailed, custom annotations that go beyond general LLML capabilities Situations where regulatory approval necessitates human review over machine-generated annotations
Is pdfmux or annotateai more popular on GitHub?
annotateai has more GitHub stars (423 vs 79). Stars measure visibility, not whether either tool fits your constraints.
Are pdfmux and annotateai open source?
Yes - both are open-source projects on GitHub (pdfmux: MIT, annotateai: Apache-2.0).
Where can I find alternatives to pdfmux or annotateai?
GraphCanon lists graph-backed alternatives at pdfmux alternatives and annotateai alternatives (pdfmux markdown twin, annotateai markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, pdfmux or annotateai?
pdfmux: Very active. annotateai: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for pdfmux and annotateai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pdfmux trust report; annotateai trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.