--- title: "surf vs langextract" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deta-surf-vs-google-langextract" tools: ["deta-surf", "google-langextract"] --- # surf vs langextract *GraphCanon updated Sep 20, 2026* ## Verdict Pick surf if surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages; 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. [surf](https://deta.surf) reports 3.6k GitHub stars, 251 forks, and 32 open issues, last pushed Aug 24, 2026. [langextract](https://pypi.org/project/langextract/) has 39k stars, 2.7k forks, and 125 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [surf's repository](https://github.com/deta/surf) and [langextract's repository](https://github.com/google/langextract). | | [surf](/tools/deta-surf.md) | [langextract](/tools/google-langextract.md) | | --- | --- | --- | | Tagline | Tools for organizing files and webpages locally to generate notes using personal AI notebooks. | Python library for extracting structured information from unstructured text using LLMs | | Stars | 3,572 | 38,614 | | Forks | 251 | 2,704 | | Open issues | 32 | 125 | | Language | TypeScript | Python | | Adopt for | surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages. | Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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. | | Categories | Data & Retrieval, Developer Tools, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [surf](/tools/deta-surf.md) | [langextract](/tools/google-langextract.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 26d | 4d | | Open issues (now) | 32 | 125 | | Stars delta | +50 (30d) | +214 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Full report | [trust report](/tools/deta-surf/trust.md) | [trust report](/tools/google-langextract/trust.md) | ## Decision facts: surf - **Adopt for:** surf is an open-source tool for managing personal notes by integrating local or remote AI models to process files and webpages. ## Decision facts: langextract - **Pricing:** freemium - 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. - **Adopt for:** Langextract is a Python library designed for extracting structured data from unstructured text using large language models, offering precise source grounding and interactive visualization. - **License detail:** 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. ## Choose when ### Choose surf if… - surf is primarily TypeScript; langextract is Python. - Tags unique to surf: claude, deepseek, gemma, knowledge-base. - Also covers Developer Tools. - Need a robust integration with both local and remote language models for comprehensive note creation ### Choose langextract if… - langextract is primarily Python; surf is TypeScript. - 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.. - Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash. - 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 surf - Prefer using proprietary, closed-source tools that do not allow open model choices - Require extensive cloud-based collaboration features among multiple users ## 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. ## Common questions ### What is the difference between surf and langextract? surf: Tools for organizing files and webpages locally to generate notes using personal AI notebooks.. langextract: Python library for extracting structured information from unstructured text using LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose surf over langextract? Choose surf over langextract when surf is primarily TypeScript; langextract is Python; Tags unique to surf: claude, deepseek, gemma, knowledge-base; Also covers Developer Tools; Need a robust integration with both local and remote language models for comprehensive note creation. ### When should I choose langextract over surf? Choose langextract over surf when langextract is primarily Python; surf is TypeScript; 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.; Tags unique to langextract: gemini, gemini-ai, gemini-api, gemini-flash; 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 avoid surf? Prefer using proprietary, closed-source tools that do not allow open model choices Require extensive cloud-based collaboration features among multiple users ### 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. ### Is surf or langextract more popular on GitHub? langextract has more GitHub stars (38,614 vs 3,572). Stars measure visibility, not whether either tool fits your constraints. ### Are surf and langextract open source? Yes - both are open-source projects on GitHub (surf: Apache-2.0, langextract: Apache-2.0). ### Where can I find alternatives to surf or langextract? GraphCanon lists graph-backed alternatives at [surf alternatives](/tools/deta-surf/alternatives) and [langextract alternatives](/tools/google-langextract/alternatives) ([surf markdown twin](/tools/deta-surf/alternatives.md), [langextract markdown twin](/tools/google-langextract/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/deta-surf-vs-google-langextract.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, surf or langextract? surf: Active. langextract: 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 surf and langextract? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [surf trust report](/tools/deta-surf/trust); [langextract trust report](/tools/google-langextract/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deta-surf`](/api/graphcanon/graph?tool=deta-surf) - 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/_