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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.

What is LightOn?

LightOn: Build production-grade RAG applications without the 9-month build time using a single, multimodal API for document parsing, extraction, and search. It has a free plan; paid plans start at €149/mo. Zekai scores it 8.5 out of 10 after independent testing. Best for developers building custom RAG and enterprise search apps.

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 Pro from€149/mo
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
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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 · paid from €149/mo
Zekai Score
8.5/10
Hand-scored by Zekai

Top AI for Software Development picks

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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.
Free planYes, 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…

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.

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…

AI Prompts

Prompts for Developers

Prompt 01 The SQL Query Generator with Schema Context
CREATE TABLE users ( id SERIAL PRIMARY KEY, name VARCHAR(100), email VARCHAR(100) UNIQUE, created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW() ); CREATE TABLE orders ( id SERIAL PRIMARY KEY, user_id INTEGER REFERENCES users(id), amount…
Prompt 02 The MCP-Aware Database Migration Agent
(for interacting with the Prisma schema and CLI) *
Prompt 03 The Agentic E2E Test Runner
(for creating GitHub issues) Scenario: The "new user registration" feature has been deployed to the staging environment at
See all 15 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
916K+ monthly installs+ professionals are already using this tool.
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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.

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

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
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AI Directory

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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