--- title: "TaxHacker vs unstract" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/vas3k-taxhacker-vs-zipstack-unstract" tools: ["vas3k-taxhacker", "zipstack-unstract"] --- # TaxHacker vs unstract *GraphCanon updated Sep 20, 2026* ## Verdict Pick TaxHacker if self-hosted AI app for receipt and invoice analysis with LLM support; pick unstract if unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license. [TaxHacker](https://taxhacker.app) reports 6.7k GitHub stars, 1.1k forks, and 42 open issues, last pushed Sep 14, 2026. [unstract](https://unstract.com) has 7.2k stars, 718 forks, and 95 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [TaxHacker's repository](https://github.com/vas3k/TaxHacker) and [unstract's repository](https://github.com/Zipstack/unstract). | | [TaxHacker](/tools/vas3k-taxhacker.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Tagline | Self-hosted AI accounting app with LLM analysis for receipts and invoices | LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows | | Stars | 6,714 | 7,245 | | Forks | 1,093 | 718 | | Open issues | 42 | 95 | | Language | TypeScript | Python | | Adopt for | Self-hosted AI app for receipt and invoice analysis with LLM support. | Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license. | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | Data & Retrieval, LLM Frameworks, Model Training | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [TaxHacker](/tools/vas3k-taxhacker.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Days since push | 5d | 1d | | Open issues (now) | 42 | 95 | | Stars delta | +108 (30d) | +313 (30d) | | Open issues delta | +3 (30d) | +7 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/vas3k-taxhacker/trust.md) | [trust report](/tools/zipstack-unstract/trust.md) | ## 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. ## Decision facts: unstract - **Adopt for:** Unstract is a Python-driven tool for transforming unstructured data into structured formats using OCR, PDF extraction, and other techniques to integrate with APIs and ETL workflows under AGPL-3.0 license. ## Choose when ### Choose TaxHacker if… - TaxHacker is primarily TypeScript; unstract is Python. - License: TaxHacker is MIT, unstract is AGPL-3.0. - 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 Model Training. - TaxHacker ships Docker support for self-hosted deployment. - You need full control over data in your accounting system, enabling compliance and security requirements. ### Choose unstract if… - unstract is primarily Python; TaxHacker is TypeScript. - License: unstract is AGPL-3.0, TaxHacker is MIT. - Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai. - You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license. ## 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. ## When NOT to use unstract - Your workflow strictly adheres to closed-source software management policies and requires proprietary control. - Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. - Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency. ## Common questions ### What is the difference between TaxHacker and unstract? TaxHacker: Self-hosted AI accounting app with LLM analysis for receipts and invoices. unstract: LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose TaxHacker over unstract? Choose TaxHacker over unstract when TaxHacker is primarily TypeScript; unstract is Python; License: TaxHacker is MIT, unstract is AGPL-3.0; 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 Model Training; TaxHacker ships Docker support for self-hosted deployment; You need full control over data in your accounting system, enabling compliance and security requirements. ### When should I choose unstract over TaxHacker? Choose unstract over TaxHacker when unstract is primarily Python; TaxHacker is TypeScript; License: unstract is AGPL-3.0, TaxHacker is MIT; Tags unique to unstract: ai-agents, data-engineering, document-ai, generative-ai; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license. ### 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. ### When should I avoid unstract? Your workflow strictly adheres to closed-source software management policies and requires proprietary control. Projects needing direct integration with commercial data processing services incompatible with AGPL-3.0 licensing. Cases where real-time performance is critical, as the LLM-driven extraction may introduce latency. ### Is TaxHacker or unstract more popular on GitHub? unstract has more GitHub stars (7,245 vs 6,714). Stars measure visibility, not whether either tool fits your constraints. ### Are TaxHacker and unstract open source? Yes - both are open-source projects on GitHub (TaxHacker: MIT, unstract: AGPL-3.0). ### Where can I find alternatives to TaxHacker or unstract? GraphCanon lists graph-backed alternatives at [TaxHacker alternatives](/tools/vas3k-taxhacker/alternatives) and [unstract alternatives](/tools/zipstack-unstract/alternatives) ([TaxHacker markdown twin](/tools/vas3k-taxhacker/alternatives.md), [unstract markdown twin](/tools/zipstack-unstract/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/vas3k-taxhacker-vs-zipstack-unstract.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, TaxHacker or unstract? TaxHacker: Very active. unstract: 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 TaxHacker and unstract? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [TaxHacker trust report](/tools/vas3k-taxhacker/trust); [unstract trust report](/tools/zipstack-unstract/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=vas3k-taxhacker`](/api/graphcanon/graph?tool=vas3k-taxhacker) - 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/_