--- title: "paperless-gpt vs TaxHacker" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/icereed-paperless-gpt-vs-vas3k-taxhacker" tools: ["icereed-paperless-gpt", "vas3k-taxhacker"] --- # paperless-gpt vs TaxHacker *GraphCanon updated Sep 20, 2026* ## Verdict Pick paperless-gpt if paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license; pick TaxHacker if self-hosted AI app for receipt and invoice analysis with LLM support. [paperless-gpt](https://github.com/icereed/paperless-gpt) reports 2.7k GitHub stars, 208 forks, and 157 open issues, last pushed Sep 19, 2026. [TaxHacker](https://taxhacker.app) has 6.7k stars, 1.1k forks, and 42 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [paperless-gpt's repository](https://github.com/icereed/paperless-gpt) and [TaxHacker's repository](https://github.com/vas3k/TaxHacker). | | [paperless-gpt](/tools/icereed-paperless-gpt.md) | [TaxHacker](/tools/vas3k-taxhacker.md) | | --- | --- | --- | | Tagline | Document Digitalization powered by AI | Self-hosted AI accounting app with LLM analysis for receipts and invoices | | Stars | 2,702 | 6,714 | | Forks | 208 | 1,093 | | Open issues | 157 | 42 | | Language | Go | TypeScript | | Adopt for | paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. | Self-hosted AI app for receipt and invoice analysis with LLM support. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, LLM Frameworks | Data & Retrieval, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [paperless-gpt](/tools/icereed-paperless-gpt.md) | [TaxHacker](/tools/vas3k-taxhacker.md) | | --- | --- | --- | | Days since push | 1d | 5d | | Open issues (now) | 157 | 42 | | Stars delta | +88 (30d) | +108 (30d) | | Open issues delta | -20 (30d) | +3 (30d) | | Full report | [trust report](/tools/icereed-paperless-gpt/trust.md) | [trust report](/tools/vas3k-taxhacker/trust.md) | ## Decision facts: paperless-gpt - **Adopt for:** paperless-gpt uses LLMs and OCR for document processing within the paperless-ngx framework, available in Go with MIT license. ## Decision facts: TaxHacker - **Pricing:** freemium - Free open-source MIT-licensed solution but may involve costs for server hosting and third-party API usage like OpenAI. - **Requirements:** Min 2 GB RAM; Requires Docker; Self-hosted setup requires Docker and PostgreSQL database. - **Adopt for:** Self-hosted AI app for receipt and invoice analysis with LLM support. ## Choose when ### Choose paperless-gpt if… - paperless-gpt is primarily Go; TaxHacker is TypeScript. - Tags unique to paperless-gpt: ai, document-processing, ocr. - Also covers Computer Vision. - Need integration with existing paperless-ngx setup ### Choose TaxHacker if… - TaxHacker is primarily TypeScript; paperless-gpt is Go. - Pricing: Free open-source MIT-licensed solution but may involve costs for server hosting and third-party API usage like OpenAI.. - Requirements: Min 2 GB RAM; Requires Docker; Self-hosted setup requires Docker and PostgreSQL database.. - Tags unique to TaxHacker: accounting, ai-analysis, currency-exchange, expenses. - Also covers Data & Retrieval, Model Training. - You need full control over data in your accounting system, enabling compliance and security requirements. ## When NOT to use paperless-gpt - Looking for a tool that operates independently of paperless-ngx infrastructure - Prefer solutions not requiring configuration for different LLM providers - Require real-time high-volume processing where additional latency from AI integration is undesirable ## When NOT to use TaxHacker - If you prefer cloud-hosted solutions with minimal setup time and maintenance effort. - When you lack the infrastructure or expertise to manage a self-hosted application, including database management and Docker orchestration. - You do not require the level of customization that TaxHacker offers, as simpler alternatives exist. ## Common questions ### What is the difference between paperless-gpt and TaxHacker? paperless-gpt: Document Digitalization powered by AI. TaxHacker: Self-hosted AI accounting app with LLM analysis for receipts and invoices. See the comparison table for live GitHub stats and shared categories. ### When should I choose paperless-gpt over TaxHacker? Choose paperless-gpt over TaxHacker when paperless-gpt is primarily Go; TaxHacker is TypeScript; Tags unique to paperless-gpt: ai, document-processing, ocr; Also covers Computer Vision; Need integration with existing paperless-ngx setup. ### When should I choose TaxHacker over paperless-gpt? Choose TaxHacker over paperless-gpt when TaxHacker is primarily TypeScript; paperless-gpt is Go; Pricing: Free open-source MIT-licensed solution but may involve costs for server hosting and third-party API usage like OpenAI.; Requirements: Min 2 GB RAM; Requires Docker; Self-hosted setup requires Docker and PostgreSQL database.; Tags unique to TaxHacker: accounting, ai-analysis, currency-exchange, expenses; Also covers Data & Retrieval, Model Training; You need full control over data in your accounting system, enabling compliance and security requirements. ### When should I avoid paperless-gpt? Looking for a tool that operates independently of paperless-ngx infrastructure Prefer solutions not requiring configuration for different LLM providers Require real-time high-volume processing where additional latency from AI integration is undesirable ### When should I avoid TaxHacker? If you prefer cloud-hosted solutions with minimal setup time and maintenance effort. When you lack the infrastructure or expertise to manage a self-hosted application, including database management and Docker orchestration. You do not require the level of customization that TaxHacker offers, as simpler alternatives exist. ### Is paperless-gpt or TaxHacker more popular on GitHub? TaxHacker has more GitHub stars (6,714 vs 2,702). Stars measure visibility, not whether either tool fits your constraints. ### Are paperless-gpt and TaxHacker open source? Yes - both are open-source projects on GitHub (paperless-gpt: MIT, TaxHacker: MIT). ### Where can I find alternatives to paperless-gpt or TaxHacker? GraphCanon lists graph-backed alternatives at [paperless-gpt alternatives](/tools/icereed-paperless-gpt/alternatives) and [TaxHacker alternatives](/tools/vas3k-taxhacker/alternatives) ([paperless-gpt markdown twin](/tools/icereed-paperless-gpt/alternatives.md), [TaxHacker markdown twin](/tools/vas3k-taxhacker/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/icereed-paperless-gpt-vs-vas3k-taxhacker.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, paperless-gpt or TaxHacker? paperless-gpt: Very active. TaxHacker: 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 paperless-gpt and TaxHacker? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [paperless-gpt trust report](/tools/icereed-paperless-gpt/trust); [TaxHacker trust report](/tools/vas3k-taxhacker/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=icereed-paperless-gpt`](/api/graphcanon/graph?tool=icereed-paperless-gpt) - 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/_