--- title: "pdfmux vs chunktuner" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nameetp-pdfmux-vs-shantanu-deshmukh-chunktuner" tools: ["nameetp-pdfmux", "shantanu-deshmukh-chunktuner"] --- # pdfmux vs chunktuner *GraphCanon updated Aug 15, 2026* ## Verdict Pick pdfmux if pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes; pick chunktuner if a specialized benchmarking suite for optimizing chunking strategies in RAG corpora, offering a comprehensive toolkit inclusive of CLI and server components. [pdfmux](https://pdfmux.com) reports 79 GitHub stars, 12 forks, and 4 open issues, last pushed Aug 13, 2026. [chunktuner](https://shantanu-deshmukh.github.io/chunktuner/) has 2 stars, 0 forks, and 0 open issues, last pushed Jun 21, 2026. Figures are from public GitHub metadata via [pdfmux's repository](https://github.com/NameetP/pdfmux) and [chunktuner's repository](https://github.com/shantanu-deshmukh/chunktuner). | | [pdfmux](/tools/nameetp-pdfmux.md) | [chunktuner](/tools/shantanu-deshmukh-chunktuner.md) | | --- | --- | --- | | Tagline | PDF extraction with self-healing and cost-aware mechanisms | Benchmark and optimize chunking strategies for RAG corpus | | Stars | 79 | 2 | | Forks | 12 | 0 | | Open issues | 4 | 0 | | Language | Python | Python | | Adopt for | pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes. | A specialized benchmarking suite for optimizing chunking strategies in RAG corpora, offering a comprehensive toolkit inclusive of CLI and server components. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Evaluation & Observability | Data & Retrieval, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [pdfmux](/tools/nameetp-pdfmux.md) | [chunktuner](/tools/shantanu-deshmukh-chunktuner.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 1d | 41d | | Open issues (now) | 4 | 0 | | Stars delta | +3 (30d) | Unknown | | Open issues delta | -2 (30d) | Unknown | | Full report | [trust report](/tools/nameetp-pdfmux/trust.md) | [trust report](/tools/shantanu-deshmukh-chunktuner/trust.md) | ## Shared compatibility - **Python**: [pdfmux](/tools/nameetp-pdfmux.md) - Python runtime; [chunktuner](/tools/shantanu-deshmukh-chunktuner.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: chunktuner - **Pricing:** freemium - Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage. - **Adopt for:** A specialized benchmarking suite for optimizing chunking strategies in RAG corpora, offering a comprehensive toolkit inclusive of CLI and server components. ## Choose when ### Choose pdfmux if… - Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction. - pdfmux ships Docker support for self-hosted deployment. - You need high accuracy without LLMs or GPUs. ### Choose chunktuner if… - Pricing: Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage.. - Tags unique to chunktuner: chunking, embedding, evaluation, langchain. - - You are working specifically with retrieval-augmented generation (RAG) systems which require tailored optimization and evaluation. ## 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 chunktuner - - If you do not deal with RAG systems or if the nature of your workflow does not benefit from specific optimizations in text chunking strategies across a corpus. - - You are working on projects that don't necessitate evaluation and optimization at the level provided by 'chunktuner', such as simpler tasks that can be managed without extensive configuration tools. ## Common questions ### What is the difference between pdfmux and chunktuner? pdfmux: PDF extraction with self-healing and cost-aware mechanisms. chunktuner: Benchmark and optimize chunking strategies for RAG corpus. See the comparison table for live GitHub stats and shared categories. ### When should I choose pdfmux over chunktuner? Choose pdfmux over chunktuner when Tags unique to pdfmux: ocr, pdf-extraction, self-healing, structured-extraction; pdfmux ships Docker support for self-hosted deployment; You need high accuracy without LLMs or GPUs. ### When should I choose chunktuner over pdfmux? Choose chunktuner over pdfmux when Pricing: Open source with an MIT license, offering free use for both personal and commercial projects. No costs beyond typical computing resources are implied by its usage.; Tags unique to chunktuner: chunking, embedding, evaluation, langchain; - You are working specifically with retrieval-augmented generation (RAG) systems which require tailored optimization and evaluation. ### 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 chunktuner? - If you do not deal with RAG systems or if the nature of your workflow does not benefit from specific optimizations in text chunking strategies across a corpus. - You are working on projects that don't necessitate evaluation and optimization at the level provided by 'chunktuner', such as simpler tasks that can be managed without extensive configuration tools. ### Is pdfmux or chunktuner more popular on GitHub? pdfmux has more GitHub stars (79 vs 2). Stars measure visibility, not whether either tool fits your constraints. ### Are pdfmux and chunktuner open source? Yes - both are open-source projects on GitHub (pdfmux: MIT, chunktuner: MIT). ### Where can I find alternatives to pdfmux or chunktuner? GraphCanon lists graph-backed alternatives at [pdfmux alternatives](/tools/nameetp-pdfmux/alternatives) and [chunktuner alternatives](/tools/shantanu-deshmukh-chunktuner/alternatives) ([pdfmux markdown twin](/tools/nameetp-pdfmux/alternatives.md), [chunktuner markdown twin](/tools/shantanu-deshmukh-chunktuner/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-shantanu-deshmukh-chunktuner.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, pdfmux or chunktuner? pdfmux: Very active. chunktuner: Steady. 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 chunktuner? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [pdfmux trust report](/tools/nameetp-pdfmux/trust); [chunktuner trust report](/tools/shantanu-deshmukh-chunktuner/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/_