--- title: "pdfmux vs annotateai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nameetp-pdfmux-vs-neuml-annotateai" tools: ["nameetp-pdfmux", "neuml-annotateai"] --- # pdfmux vs annotateai *GraphCanon updated Aug 23, 2026* ## 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. [pdfmux](https://pdfmux.com) reports 79 GitHub stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. [annotateai](https://github.com/neuml/annotateai) has 423 stars, 43 forks, and 0 open issues, last pushed May 5, 2026. Figures are from public GitHub metadata via [pdfmux's repository](https://github.com/NameetP/pdfmux) and [annotateai's repository](https://github.com/neuml/annotateai). | | [pdfmux](/tools/nameetp-pdfmux.md) | [annotateai](/tools/neuml-annotateai.md) | | --- | --- | --- | | Tagline | PDF extraction with self-healing and cost-aware mechanisms | Automatically annotate papers using LLMs | | Stars | 79 | 423 | | Forks | 12 | 43 | | Open issues | 4 | 0 | | Language | Python | Python | | Adopt for | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | 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 | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pdfmux](/tools/nameetp-pdfmux.md) | [annotateai](/tools/neuml-annotateai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 110d | | Open issues (now) | 4 | 0 | | Stars delta | +3 (30d) | +1 (30d) | | Open issues delta | -2 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/nameetp-pdfmux/trust.md) | [trust report](/tools/neuml-annotateai/trust.md) | ## Shared compatibility - **Python**: [pdfmux](/tools/nameetp-pdfmux.md) - Python runtime; [annotateai](/tools/neuml-annotateai.md) - Python runtime ## Decision facts: pdfmux - **Adopt for:** pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. ## Decision facts: annotateai - **Adopt for:** 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. ## Choose when ### 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. ### 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 pdfmux - Require real-time GPU-based AI processing for speed. - Working with non-PDF file formats as sole tool. ## 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 ## 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](/tools/nameetp-pdfmux/alternatives) and [annotateai alternatives](/tools/neuml-annotateai/alternatives) ([pdfmux markdown twin](/tools/nameetp-pdfmux/alternatives.md), [annotateai markdown twin](/tools/neuml-annotateai/alternatives.md)), 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](/compare/nameetp-pdfmux-vs-neuml-annotateai.md) 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](/tools/nameetp-pdfmux/trust); [annotateai trust report](/tools/neuml-annotateai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nameetp-pdfmux`](/api/graphcanon/graph?tool=nameetp-pdfmux) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_