Comparison
langextract vs opendataloader-pdf
Verdict
Pick langextract if langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization; pick opendataloader-pdf if opendataloader-pdf is an open-source PDF parsing library in Java that transforms PDFs into AI-ready data by supporting OCR recognition, bounding box generation, and table extraction.
Markdown twin · langextract alternatives · opendataloader-pdf alternatives
GraphCanon updated Sep 20, 2026
22views this month
Trust & integrity
| Signal | langextract | opendataloader-pdf |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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 |
Tagline
- langextract
- Python library for extracting structured information from unstructured text using LLMs
- opendataloader-pdf
- PDF Parser for AI-ready data
Stars
- langextract
- 39k
- opendataloader-pdf
- 29k
Forks
- langextract
- 2.7k
- opendataloader-pdf
- 2.7k
Open issues
- langextract
- 125
- opendataloader-pdf
- 82
Language
- langextract
- Python
- opendataloader-pdf
- Java
Adopt for
- langextract
- Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization.
- opendataloader-pdf
- Opendataloader-pdf is an open-source PDF parsing library in Java that transforms PDFs into AI-ready data by supporting OCR recognition, bounding box generation, and table extraction.
Persona
- langextract
- -
- opendataloader-pdf
- -
Runtime
- langextract
- -
- opendataloader-pdf
- -
License
- langextract
- Langextract is available under the Apache-2.0 license, allowing for broad use in both commercial and non-commercial projects with the requirement to include the license text and copyright notice.
- opendataloader-pdf
- Opendataloader-pdf uses Apache License 2.0, making it a fully permissive license that allows easy integration into commercial projects without copyleft obligations. Prior to version 2.0, the tool was
Last pushed
- langextract
- Sep 13, 2026
- opendataloader-pdf
- Aug 18, 2026
Categories
- langextract
- Data & Retrieval, LLM Frameworks
- opendataloader-pdf
- Data & Retrieval, Model Training
Trust and health
Days since push
- langextract
- 4d
- opendataloader-pdf
- 0d
Open issues (now)
- langextract
- 125
- opendataloader-pdf
- 82
Stars delta
- langextract
- +214 (30d)
- opendataloader-pdf
- +1.1k (30d)
Open issues delta
- langextract
- +3 (30d)
- opendataloader-pdf
- +8 (30d)
Full report
- langextract
- Trust report
- opendataloader-pdf
- Trust report
Typed relationship
Choose langextract if…
- langextract is primarily Python; opendataloader-pdf is Java.
- Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model..
- Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation..
- Both LangExtract and opendataloader-pdf focus on extracting structured data from unstructured sources, with opendataloader specifically targeting PDFs.
- Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash.
- Also covers LLM Frameworks.
- langextract ships Docker support for self-hosted deployment.
- When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.
When NOT to use langextract
- If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality.
- When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services.
- If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.
Choose opendataloader-pdf if…
- opendataloader-pdf is primarily Java; langextract is Python.
- Both LangExtract and opendataloader-pdf focus on extracting structured data from unstructured sources, with opendataloader specifically targeting PDFs.
- Tags unique to opendataloader-pdf: a11y, accessibility, ai, bounding-box.
- Also covers Model Training.
- - **You require precise control:** Opendataloader-pdf offers detailed features such as bounding box generation and table extraction, which can be crucial when you need precise data positioning from un
When NOT to use opendataloader-pdf
- - **Non-Java Environment:** Since the tool is primarily developed in Java, it might not be suitable if your primary development environment or application is built around another language.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google/langextract) · observed Sep 20, 2026
- GitHub forks (google/langextract) · observed Sep 20, 2026
- Last push (google/langextract) · observed Sep 13, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (opendataloader-project/opendataloader-pdf) · observed Sep 20, 2026
- GitHub forks (opendataloader-project/opendataloader-pdf) · observed Sep 20, 2026
- Last push (opendataloader-project/opendataloader-pdf) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langextract 39k · opendataloader-pdf 29k (synced Sep 20, 2026).
Common questions
- What is the difference between langextract and opendataloader-pdf?
- langextract: Python library for extracting structured information from unstructured text using LLMs. opendataloader-pdf: PDF Parser for AI-ready data. See the comparison table for live GitHub stats and shared categories.
- When should I choose langextract over opendataloader-pdf?
- Choose langextract over opendataloader-pdf when langextract is primarily Python; opendataloader-pdf is Java; Pricing: The library itself is free to use, but using cloud-hosted models like Gemini may incur costs based on the provider's pricing model.; Requirements: Min 4 GB RAM; Requires Docker; Installation requires Python and pip.; For cloud-hosted models, an API key is required and must be configured as per the documentation.; Both LangExtract and opendataloader-pdf focus on extracting structured data from unstructured sources, with opendataloader specifically targeting PDFs; Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash; Also covers LLM Frameworks; langextract ships Docker support for self-hosted deployment; When you need to extract structured data from unstructured text with precise source grounding and interactive visualization capabilities.
- When should I choose opendataloader-pdf over langextract?
- Choose opendataloader-pdf over langextract when opendataloader-pdf is primarily Java; langextract is Python; Both LangExtract and opendataloader-pdf focus on extracting structured data from unstructured sources, with opendataloader specifically targeting PDFs; Tags unique to opendataloader-pdf: a11y, accessibility, ai, bounding-box; Also covers Model Training; - **You require precise control:** Opendataloader-pdf offers detailed features such as bounding box generation and table extraction, which can be crucial when you need precise data positioning from un.
- When should I avoid langextract?
- If your project does not require the use of large language models for information extraction, as langextract is specifically designed around this functionality. When you do not have access to or do not wish to use cloud-hosted models like Gemini, as langextract requires an API key for these services. If your project does not need interactive visualization or precise source grounding features, as these are specific to langextract and may not be necessary for all use cases.
- When should I avoid opendataloader-pdf?
- - **Non-Java Environment:** Since the tool is primarily developed in Java, it might not be suitable if your primary development environment or application is built around another language.
- Is langextract or opendataloader-pdf more popular on GitHub?
- langextract has more GitHub stars (38,614 vs 28,528). Stars measure visibility, not whether either tool fits your constraints.
- Are langextract and opendataloader-pdf open source?
- Yes - both are open-source projects on GitHub (langextract: Apache-2.0, opendataloader-pdf: Apache-2.0).
- Where can I find alternatives to langextract or opendataloader-pdf?
- GraphCanon lists graph-backed alternatives at langextract alternatives and opendataloader-pdf alternatives (langextract markdown twin, opendataloader-pdf 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, langextract or opendataloader-pdf?
- langextract: Very active. opendataloader-pdf: 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 langextract and opendataloader-pdf?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langextract trust report; opendataloader-pdf trust report.