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Comparison

txtai vs unstract

Verdict

Pick txtai if txtai offers a comprehensive suite for semantic search and large language model workflows. Ideal for those who require an all-in-one framework with embedding generation and information retrieval capabilities; 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.

Markdown twin · txtai alternatives · unstract alternatives

GraphCanon updated 1w

txtai logo

txtai

neuml/txtai

★ 13kpushed Aug 12, 2026
vs
unstract logo

unstract

Zipstack/unstract

★ 6.9kpushed Jul 27, 2026

Trust & integrity

Signaltxtaiunstract
Maintenance
Very active (3d since push)
As of 1w · github_public_v1
Very active (0d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Organization account
As of 4w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1
txtai trust reportunstract trust reportTrust methodology

Tagline

txtai
All-in-one AI framework for semantic search, LLM orchestration and language model workflows
unstract
LLM-Driven Extraction of Unstructured Data for API Deployments and ETL Pipeline Workflows

Stars

txtai
13k
unstract
6.9k

Forks

txtai
873
unstract
663

Open issues

txtai
10
unstract
88

Language

txtai
Python
unstract
Python

Adopt for

txtai
Txtai offers a comprehensive suite for semantic search and large language model workflows. Ideal for those who require an all-in-one framework with embedding generation and information retrieval capabilities.
unstract
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

txtai
-
unstract
-

Runtime

txtai
-
unstract
-

License

txtai
Apache-2.0
unstract
AGPL-3.0

Last pushed

txtai
Aug 12, 2026
unstract
Jul 27, 2026

Categories

txtai
AI Agents, Data & Retrieval, LLM Frameworks
unstract
Data & Retrieval, LLM Frameworks

Trust and health

Days since push

txtai
3d
unstract
0d

Open issues (now)

txtai
10
unstract
88

Stars delta

txtai
+162 (30d)
unstract
Unknown

Open issues delta

txtai
-8 (30d)
unstract
Unknown

Full report

txtai
Trust report
unstract
Trust report

Choose txtai if…

  • License: txtai is Apache-2.0, unstract is AGPL-3.0.
  • Pricing: Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子.
  • Requirements: Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine..
  • Tags unique to txtai: embeddings, information-retrieval, language-model, large language models.
  • Also covers AI Agents.
  • When you need a cohesive, unified solution that doesn't require integration across multiple frameworks – txtai bundles semantic search and LLM orchestration.

When NOT to use txtai

  • When you specifically need a framework with focus on advanced machine learning models beyond NLP, as txtai primarily focuses on semantic search and LLM workflows.
  • If your project requires customization of every single component of the AI pipeline from scratch, txtai's all-in-one approach might limit that flexibility.
GitHubDetails

Choose unstract if…

  • License: unstract is AGPL-3.0, txtai is Apache-2.0.
  • Tags unique to unstract: data-engineering, document-ai, generative-ai, idp.
  • You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.

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.
GitHubDetails

Explore

txtai trust report →unstract trust report →AI Agents category →Data & Retrieval category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: txtai 13k · unstract 6.9k (synced Aug 16, 2026).

Common questions

What is the difference between txtai and unstract?
txtai: All-in-one AI framework for semantic search, LLM orchestration and language model workflows. 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 txtai over unstract?
Choose txtai over unstract when License: txtai is Apache-2.0, unstract is AGPL-3.0; Pricing: Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子; Requirements: Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine.; Tags unique to txtai: embeddings, information-retrieval, language-model, large language models; Also covers AI Agents; When you need a cohesive, unified solution that doesn't require integration across multiple frameworks – txtai bundles semantic search and LLM orchestration.
When should I choose unstract over txtai?
Choose unstract over txtai when License: unstract is AGPL-3.0, txtai is Apache-2.0; Tags unique to unstract: data-engineering, document-ai, generative-ai, idp; You prioritize open-source contributions and require the flexibility of the AGPL-3.0 license.
When should I avoid txtai?
When you specifically need a framework with focus on advanced machine learning models beyond NLP, as txtai primarily focuses on semantic search and LLM workflows. If your project requires customization of every single component of the AI pipeline from scratch, txtai's all-in-one approach might limit that flexibility.
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 txtai or unstract more popular on GitHub?
txtai has more GitHub stars (12,890 vs 6,932). Stars measure visibility, not whether either tool fits your constraints.
Are txtai and unstract open source?
Yes - both are open-source projects on GitHub (txtai: Apache-2.0, unstract: AGPL-3.0).
Where can I find alternatives to txtai or unstract?
GraphCanon lists graph-backed alternatives at txtai alternatives and unstract alternatives (txtai markdown twin, unstract markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, txtai or unstract?
txtai: 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 txtai and unstract?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: txtai trust report; unstract trust report.

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