--- title: "presidio vs pdfmux" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/data-privacy-stack-presidio-vs-nameetp-pdfmux" tools: ["data-privacy-stack-presidio", "nameetp-pdfmux"] --- # presidio vs pdfmux *GraphCanon updated Aug 15, 2026* ## Verdict Pick presidio if presidio is an open-source framework for identifying and anonymizing sensitive data including text, images, and structured formats through its NLP, pattern matching, and customizable pipeline capabilities; pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. [presidio](https://presidio.dataprivacystack.org) reports 10k GitHub stars, 1.2k forks, and 102 open issues, last pushed Aug 8, 2026. [pdfmux](https://pdfmux.com) has 79 stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. Figures are from public GitHub metadata via [presidio's repository](https://github.com/data-privacy-stack/presidio) and [pdfmux's repository](https://github.com/NameetP/pdfmux). | | [presidio](/tools/data-privacy-stack-presidio.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Tagline | A framework for detecting and anonymizing sensitive data | PDF extraction with self-healing and cost-aware mechanisms | | Stars | 10,395 | 79 | | Forks | 1,237 | 12 | | Open issues | 102 | 4 | | Language | Python | Python | | Adopt for | Presidio is an open-source framework for identifying and anonymizing sensitive data including text, images, and structured formats through its NLP, pattern matching, and customizable pipeline capabilities. | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | | Persona | - | - | | Runtime | - | - | | License | MIT License for use under permissive terms that allows free usage for commercial or non-commercial purposes with full source code available. | MIT | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [presidio](/tools/data-privacy-stack-presidio.md) | [pdfmux](/tools/nameetp-pdfmux.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 102 | 4 | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | -2 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/data-privacy-stack-presidio/trust.md) | [trust report](/tools/nameetp-pdfmux/trust.md) | ## Shared compatibility - **Python**: [presidio](/tools/data-privacy-stack-presidio.md) - Python runtime; [pdfmux](/tools/nameetp-pdfmux.md) - Python runtime ## Decision facts: presidio - **Pricing:** freemium - Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs. - **Requirements:** Requires Docker - **Adopt for:** Presidio is an open-source framework for identifying and anonymizing sensitive data including text, images, and structured formats through its NLP, pattern matching, and customizable pipeline capabilities. - **License detail:** MIT License for use under permissive terms that allows free usage for commercial or non-commercial purposes with full source code available. ## Decision facts: pdfmux - **Adopt for:** pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. ## Choose when ### Choose presidio if… - Pricing: Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs.. - Requirements: Requires Docker. - Tags unique to presidio: data-anonymization, data-obfuscation, group:python-frameworks. - When you need a tool that supports not only text but also image and structured data anonymization, Presidio offers broad coverage for different data types. ### Choose pdfmux if… - Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction. - You need high accuracy without LLMs or GPUs. - More recently updated (last pushed Aug 13, 2026). ## When NOT to use presidio - Avoid using Presidio if your project strictly requires manual data anonymization processes as it mainly supports automated detection. - Presidio's automated mechanisms may not catch all sensitive information, so you should not solely rely on it when a near-perfect accuracy rate in PII identification is crucial. ## When NOT to use pdfmux - Require real-time GPU-based AI processing for speed. - Working with non-PDF file formats as sole tool. ## Common questions ### What is the difference between presidio and pdfmux? presidio: A framework for detecting and anonymizing sensitive data. pdfmux: PDF extraction with self-healing and cost-aware mechanisms. See the comparison table for live GitHub stats and shared categories. ### When should I choose presidio over pdfmux? Choose presidio over pdfmux when Pricing: Open-source and freely usable as it relies on the MIT license; however, additional support services may incur costs.; Requirements: Requires Docker; Tags unique to presidio: data-anonymization, data-obfuscation, group:python-frameworks; When you need a tool that supports not only text but also image and structured data anonymization, Presidio offers broad coverage for different data types. ### When should I choose pdfmux over presidio? Choose pdfmux over presidio when Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; You need high accuracy without LLMs or GPUs; More recently updated (last pushed Aug 13, 2026). ### When should I avoid presidio? Avoid using Presidio if your project strictly requires manual data anonymization processes as it mainly supports automated detection. Presidio's automated mechanisms may not catch all sensitive information, so you should not solely rely on it when a near-perfect accuracy rate in PII identification is crucial. ### When should I avoid pdfmux? Require real-time GPU-based AI processing for speed. Working with non-PDF file formats as sole tool. ### Is presidio or pdfmux more popular on GitHub? presidio has more GitHub stars (10,395 vs 79). Stars measure visibility, not whether either tool fits your constraints. ### Are presidio and pdfmux open source? Yes - both are open-source projects on GitHub (presidio: MIT, pdfmux: MIT). ### Where can I find alternatives to presidio or pdfmux? GraphCanon lists graph-backed alternatives at [presidio alternatives](/tools/data-privacy-stack-presidio/alternatives) and [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) ([presidio markdown twin](/tools/data-privacy-stack-presidio/alternatives.md), [pdfmux markdown twin](/tools/nameetp-pdfmux/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/data-privacy-stack-presidio-vs-nameetp-pdfmux.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, presidio or pdfmux? presidio: Very active. pdfmux: Very active. 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 presidio and pdfmux? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [presidio trust report](/tools/data-privacy-stack-presidio/trust); [pdfmux trust report](/tools/nameetp-pdfmux/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=data-privacy-stack-presidio`](/api/graphcanon/graph?tool=data-privacy-stack-presidio) - 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/_