--- title: "annotateai vs unstract" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neuml-annotateai-vs-zipstack-unstract" tools: ["neuml-annotateai", "zipstack-unstract"] --- # annotateai vs unstract *GraphCanon updated Aug 23, 2026* ## Verdict 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; 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. [annotateai](https://github.com/neuml/annotateai) reports 423 GitHub stars, 43 forks, and 0 open issues, last pushed May 5, 2026. [unstract](https://unstract.com) has 6.9k stars, 663 forks, and 88 open issues, last pushed Jul 27, 2026. Figures are from public GitHub metadata via [annotateai's repository](https://github.com/neuml/annotateai) and [unstract's repository](https://github.com/Zipstack/unstract). | | [annotateai](/tools/neuml-annotateai.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Tagline | Automatically annotate papers using LLMs | LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows | | Stars | 423 | 6,932 | | Forks | 43 | 663 | | Open issues | 0 | 88 | | Language | Python | Python | | 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. | 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 | Apache-2.0 | AGPL-3.0 | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [annotateai](/tools/neuml-annotateai.md) | [unstract](/tools/zipstack-unstract.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 110d | 0d | | Open issues (now) | 0 | 88 | | Stars delta | +1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/neuml-annotateai/trust.md) | [trust report](/tools/zipstack-unstract/trust.md) | ## 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. ## 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 annotateai if… - License: annotateai is Apache-2.0, unstract is AGPL-3.0. - Tags unique to annotateai: ai, artificial-intelligence, large language models, machine-learning. - Need automated annotations for large volumes of scientific or medical papers ### Choose unstract if… - License: unstract is AGPL-3.0, annotateai is Apache-2.0. - 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 annotateai - Require detailed, custom annotations that go beyond general LLML capabilities - Situations where regulatory approval necessitates human review over machine-generated annotations ## 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 annotateai and unstract? annotateai: Automatically annotate papers using LLMs. 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 annotateai over unstract? Choose annotateai over unstract when License: annotateai is Apache-2.0, unstract is AGPL-3.0; Tags unique to annotateai: ai, artificial-intelligence, large language models, machine-learning; Need automated annotations for large volumes of scientific or medical papers. ### When should I choose unstract over annotateai? Choose unstract over annotateai when License: unstract is AGPL-3.0, annotateai is Apache-2.0; 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 annotateai? Require detailed, custom annotations that go beyond general LLML capabilities Situations where regulatory approval necessitates human review over machine-generated annotations ### 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 annotateai or unstract more popular on GitHub? unstract has more GitHub stars (6,932 vs 423). Stars measure visibility, not whether either tool fits your constraints. ### Are annotateai and unstract open source? Yes - both are open-source projects on GitHub (annotateai: Apache-2.0, unstract: AGPL-3.0). ### Where can I find alternatives to annotateai or unstract? GraphCanon lists graph-backed alternatives at [annotateai alternatives](/tools/neuml-annotateai/alternatives) and [unstract alternatives](/tools/zipstack-unstract/alternatives) ([annotateai markdown twin](/tools/neuml-annotateai/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/neuml-annotateai-vs-zipstack-unstract.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, annotateai or unstract? annotateai: Slowing. 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 annotateai and unstract? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [annotateai trust report](/tools/neuml-annotateai/trust); [unstract trust report](/tools/zipstack-unstract/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=neuml-annotateai`](/api/graphcanon/graph?tool=neuml-annotateai) - 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/_