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Made in FR France AI for Developers

LightOn — AI for Software Development

Build production-grade RAG applications without the 9-month build time using a single, multimodal API for document parsing, extraction, and search.

Integrate state-of-the-art OCR and hybrid retrieval with citations into your apps via three simple endpoints.

Best forAI for Developers
DifferentiatorUnified API for SOTA OCR, extraction, and hybrid search with citations.
ProofSOTA on OLMOCR-BENCH; 50M+ HuggingFace downloads of its open-source models.
Try LightOn
Free Plan Free + PAYG
Free plan verified · free AI tools for Developers
8.5 Zekai
Production RAG API Toolkit
AI for Software Development
Ease of Use
7.8
Accuracy
9.0
Value
8.4
Time Saving
8.6
916K+ monthly installsUsers
8.5/10Zekai Score
RAG APIMultimodal OCRJSON ExtractionHybrid SearchOn-Premise Option
📊 Independently reviewed and scored. How we score →
✍️ Reviewed by Zekai Editorial Team · Updated August 7, 2026
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Zekai Verdict

What is it?
LightOn provides developers with a production-ready API for building Retrieval-Augmented Generation (RAG) applications.
Best for
It's best for development teams looking to rapidly deploy multimodal RAG functionality without building and maintaining…
Not ideal for
Usage-based pricing can be unpredictable for high-volume applications.
Price
Free plan
Zekai Score
8.5/10
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Hand-scored by Zekai

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⚡ Quick answer

For AI Software Development, LightOn is a top choice for building production-ready RAG (Retrieval-Augmented Generation) applications. It provides a unified API that handles complex document ingestion, state-of-the-art OCR, and cited hybrid search, saving months of development time. Its LLM-agnostic design and flexible on-premise deployment options make it ideal for enterprise use.

CategoryRAG API
Best ForDevelopers building custom RAG and enterprise search apps.
Price FromFree, paid from €149/mo + usage.
FreeYes, a free developer tier is available.
DifferentiatorUnified API for SOTA OCR, extraction, and hybrid search with citations.
ProofSOTA on OLMOCR-BENCH; 50M+ HuggingFace downloads of its open-source models.
Rating8.5/10
📖 About LightOn
How It Works

Your workflow, automated

1
Parse Documents with /parse
Submit raw documents (PDFs, scans, images) to the API to get structured, OCR-processed Markdown text.
2
Extract Data with /extract
Define a JSON schema and use the API to pull specific fields, entities, or key-value pairs from your documents.
3
Query Knowledge with /search
Use the search endpoint to perform hybrid retrieval across your indexed documents, receiving cited, relevant passages for your LLM.
Ready to automate your workflow with LightOn?
Try LightOn →
Real Impact

Before & After

❌ Before

Months spent building and tuning fragile RAG pipelines.

9-month build cycle
✅ After

Deploying production-grade RAG features in days.

Single API integration
Prompt Templates

Try it with these prompts

Copy any prompt and paste it directly into the tool.

Extract specific clauses from contracts

Analyze the provided enterprise and SMB agreements. Identify and list all clauses that differ between the two agreement types. Ensure the output clearly distinguishes between clauses present in one but not the other, or …

Parse and structure scanned document data

Process the attached scanned document, which contains a mix of tables and text. Extract all tabular data into a structured Markdown format. Additionally, identify and extract key fields such as [PLACEHOLDER: Field Name 1…

Retrieve information with citations

Given the query about [PLACEHOLDER: Specific Topic or Question], retrieve the most relevant information from the indexed documents. Provide the answer along with direct citations to the exact passages in the source docum…

AI Prompts

Prompts for Developers

Prompt 01 Sample Prompt for AI App Prototyping
Generate a functional prototype for a mobile app called 'PlantPal'. It's for new plant owners. Key Screens: - **Onboarding:** A simple 3-step intro to the app's features. - **Login/Sign-up:** Email and password authentication. - **My Plants…
Prompt 02 Generate a Function Docstring
Analyze the following TypeScript function. Write a complete TSDoc comment for it. Explain what the function does, describe each parameter (including its type and purpose), and describe the return value. [[Paste your code here]]
Prompt 03 React Component Refactor with Context
I need to refactor a React component located at `src/components/OldProfile.tsx`. **Goal:** Create a new component `src/components/ProfileHeader.tsx` by extracting the header logic from `OldProfile.tsx`. **Context:** - The new `ProfileHead…
See all 29 AI prompts for Developers →
Social Proof

Trusted by 916K+ monthly installs

916K+ monthly installs professionals using this tool
Ease of Use
7.8
Accuracy
9.0
Value
8.4
Time Saving
8.6

"The expertise of their tech team and the rapid evolution of the product, such as the hybrid search feature, put them at the forefront of innovation."

Jérôme L., Emeritus Expert in Algorithms · June 2026

"LightOn responded very quickly with tools that perfectly matched our needs, enhancing our document base and onboarding users without experience."

Sylvain P., Co-founder & Search Engine Specialist · May 2026

"A fantastic API for the retrieval part of RAG. The OCR is top-notch. However, the pay-as-you-go pricing can be hard to predict and requires careful monitoring on high-volume projects."

David M., Lead AI Engineer · April 2026

"Integrating LightOn saved us months of work. Being able to just call an endpoint for cited retrieval instead of building a whole vector search pipeline is a game-changer for our team."

Chloé B., Backend Developer · March 2026
916K+ monthly installs+ professionals are already using this tool.
Start Free Today →
Connects With

LightOn integrations

SharePoint Google Drive Confluence File Servers SAML OIDC LDAP SCIM Model Context Protocol (MCP)
Setup complexity: For Developers
LightOn provides developers with a production-ready API for building Retrieval-Augmented Generation (RAG) applications. It streamlines development by handling complex document processing, including state-of-the-art OCR, structured data extraction, and cited hybrid search, allowing you to ship AI features faster.
Comparison

Best LightOn alternatives

LightOn vs. DIY with LangChain/LlamaIndex: Choose LightOn when speed-to-market and a managed, production-grade infrastructure for document processing (especially OCR and complex formats) are critical. Its unified API and SOTA models save significant development time. Opt for a DIY approach using frameworks like LangChain or LlamaIndex when you require maximum control and customizability over every component of the RAG pipeline, from chunking strategy to the specific vector store, and have the engineering resources to build, integrate, and maintain these disparate systems yourself.

You need a fully managed, end-to-end chatbot platform, not just the retrieval component.
Your project requires a no-code or low-code solution for document search.
You prefer to assemble your own RAG pipeline from individual open-source components for maximum control.
The decision

Is LightOn worth it?

Return on investment
By using the Business plan (€149/mo), teams can replace an estimated 9-month RAG development cycle with a few weeks of API integration, saving thousands in engineering costs.
Built for
AI/ML engineers, backend developers, and software architects building applications with Retrieval-Augmented Generation (RAG) or enterprise search capabilities.
Effort to adopt
For Developers
Compliance
The vendor states the platform is 'GDPR, SOC 2, AI Act-ready'. It offers EU sovereign hosting and dedicated regional deployments (MENA, APAC, US) for enterprise clients.
Who It's For

Why Software Development choose this tool

🎯
Built for
It's best for development teams looking to rapidly deploy multimodal RAG functionality without building and maintaining the complex underlying document processing and retrieval infrastructure.
In-Depth Overview
LightOn enables development teams to bypass the typical nine-month cycle required to build a production RAG pipeline. It consolidates this complex workflow into a single API with three endpoints: `/parse`, `/extract`, and `/search`. This allows developers to integrate advanced document understanding into applications without becoming infrastructure experts. The platform's credibility is backed by its state-of-the-art (SOTA) performance on public OCR benchmarks like OLMOCR-BENCH (83.2) and its foundation in popular open-source models like LateOn and NextPlaid, which have over 50 million HuggingFace downloads. For developers building robust, agentic systems, LightOn is designed to handle messy, real-world inputs like scanned PDFs, complex tables, and handwritten notes. It's LLM-agnostic, giving you the freedom to 'bring your own model' and avoid vendor lock-in on the inference layer. Security and scalability are addressed with enterprise-grade features like chunk-level access controls (ACLs), SSO integration, and flexible deployment options including on-premise, VPC, or fully air-gapped environments. This focus on abstracting complexity while providing enterprise-ready controls makes it a powerful accelerator for any team building with private data.

Key Use Cases

⚖️
Automate Financial Risk Analysis
Fintech Developer
Build an agent that searches hundreds of contracts and purchase orders across subsidiaries and languages to surface real financial exposure in minutes.
Clause-level citations for every number.
✓ Pros
Unified API simplifies complex RAG pipeline development.
Core technology is built on popular open-source models.
State-of-the-art performance on public OCR and retrieval benchmarks.
Granular access control (ACLs) at the chunk level for enhanced security.
Flexible deployment options: cloud, VPC, on-premise, and air-gapped.
· Cons
Usage-based pricing can be unpredictable for high-volume applications.
Requires developers to bring and integrate their own LLM.
Business tier requires an annual license commitment.
Steeper learning curve for those new to RAG architecture.
⚡ Editorial Verdict

LightOn is a powerful toolkit for developers, abstracting away the immense complexity of production RAG. Its strength lies in its unified API for best-in-class OCR, extraction, and hybrid search, backed by open-source credibility. The main trade-off is that while it simplifies the retrieval layer, developers are still responsible for integrating their own LLM and building the final application logic.

See all 445 AI tools for Developers → Browse the AI Directory →
Questions & Answers

Frequently asked questions

What is LightOn?

+
It's a production-ready API for developers building AI applications. It provides endpoints for document parsing (OCR), structured data extraction, and hybrid search to create Retrieval-Augmented Generation (RAG) systems without building the infrastructure from scratch.

Is LightOn a complete chatbot solution?

+
No, LightOn provides the critical retrieval and document understanding layer. It is LLM-agnostic, meaning you must 'bring your own model' (like GPT, Claude, or an open-source model) to handle the generation and conversational part of a chatbot.

Can LightOn handle different file types?

+
Yes, it's a multimodal platform designed to ingest and understand complex formats, including scanned PDFs, images, technical diagrams, tables, and even handwritten notes, using its state-of-the-art OCR engine.

Where is LightOn's data hosted? Can I deploy it on-premise?

+
The standard service offers EU sovereign hosting. For Enterprise clients, LightOn offers flexible deployment options including dedicated cloud environments, VPC, on-premise, and even air-gapped setups. Regional options for MENA, APAC, and the US are also available.

Does LightOn support data governance and security?

+
Yes, security is a core feature. It supports Single Sign-On (SSO), SCIM for user provisioning, and role-based access controls (RBAC). Crucially, it enforces access control lists (ACLs) at the chunk level, not just the document level, ensuring strict data segregation.

How does LightOn's pricing work?

+
LightOn uses a freemium and pay-as-you-go (PAYG) model. There is a free Starter tier for developers. The Business plan is €149/month plus usage fees, and the Enterprise plan is custom-priced. Usage is billed per page for parsing/extraction and per query for search.

Last reviewed:

Plans & Pricing

LightOn pricing and plans

Free
$0
Get Started Free
Pro
Free + PAYG
Business plan includes 100 GB storage, business SLAs, and unlimited users, plus pay-as-you-go usage fees. Requires annual license.
Start Pro Plan
Enterprise
Pricing on request
Tailored for teams and large organisations.
Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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Free guide

Take it with you

Quickstart Guide: Building Your First RAG App with LightOn
  • What is Production RAG and why is it hard?
  • Introducing the LightOn API: Parse, Extract, Search
  • Handling complex documents: OCR for PDFs and scans
  • Connecting your LLM for generation
  • Understanding cited responses for trustworthy AI
+4 more steps inside the guide
Send me the full guide

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About LightOn

Full Description

LightOn provides developers with a production-ready API for building Retrieval-Augmented Generation (RAG) applications. It streamlines development by handling complex document processing, including state-of-the-art OCR, structured data extraction, and cited hybrid search, allowing you to ship AI features faster.

Editorial Verdict

LightOn is a powerful toolkit for developers, abstracting away the immense complexity of production RAG. Its strength lies in its unified API for best-in-class OCR, extraction, and hybrid search, backed by open-source credibility. The main trade-off is that while it simplifies the retrieval layer, developers are still responsible for integrating their own LLM and building the final application logic.

Last reviewed:
Disclaimer
Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to LightOn unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →
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