What is Lettria used for?

Lettria is used to extract, structure, and analyze information from complex documents, turning text into knowledge graphs for traceable AI answers.

Who should use Lettria?

Lettria suits enterprises in regulated sectors such as finance, healthcare, legal, and engineering that need explainable document AI.

What is GraphRAG in Lettria?

GraphRAG in Lettria combines knowledge graphs with retrieval-augmented generation, so answers link back to the source passages they came from.

How much does Lettria cost?

Lettria lists a Standard plan starting at about $1,000 per license. Enterprise pricing and demos are available by contacting the vendor.

What are the best alternatives to Lettria?

Top alternatives to Lettria include Hyperscience, ABBYY Vantage, Neo4j, and Kensho for document extraction and knowledge graph work.

Lettria Reviews, Features & Alternatives

Overview

What is Lettria?

Lettria is a French document intelligence and NLP platform built for regulated industries such as finance, healthcare, legal, and engineering. It parses PDFs and internal documents while preserving their structure, turns text into knowledge graphs, and answers questions with GraphRAG that shows where each result came from. Tools include document parsing, ontology enrichment, text-to-graph, and sentiment analysis. Data science teams, knowledge managers, and compliance teams use Lettria to build traceable AI on their own documents.

Best for

Data Science TeamsCompliance TeamsKnowledge ManagersFinancial Services FirmsHealthcare Organizations

Product snapshot

Category: Data Extraction & Collection
Best for: Regulated enterprise documents
Deployment: Contact vendor
Free trial: Contact vendor
Integrations: Knowledge graphs, data platforms
AI features: Yes

Key features

Key features of Lettria

GraphRAG answers

Answer questions over documents using graph-based retrieval and generation.

Document parsing

Extract content from PDFs while keeping tables and structure intact.

Text to graph

Convert unstructured text into connected knowledge graph entities and relations.

Ontology enrichment

Build and extend domain ontologies from your own document sets.

Traceable results

Show the source passages behind every answer for auditing.

Sentiment analysis

Analyze emotion and sentiment in customer feedback and reviews.

Reviews

Lettria reviews

Overall

Nobody has reviewed

What users like

Explainable and traceable AI answers
Preserves document structure when parsing
Strong focus on regulated industries
Supports English and French

What users dislike

Standard plan starts around $1,000
Free trial not clearly offered
Deployment options not clearly published
Knowledge graph concepts add learning curve

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Alternatives

Top Lettria alternatives

Hyperscience
Best for
Enterprise document processing
Why choose it
Accurate extraction for high-volume documents
ABBYY Vantage
Best for
Intelligent document processing
Why choose it
Prebuilt skills for many document types
Neo4j
Best for
Graph database teams
Why choose it
Leading graph platform with GraphRAG support
Kensho
Best for
Financial document extraction
Why choose it
AI extraction tuned for financial filings

Integrations

Lettria integrations

Lettria is designed to fit into existing enterprise data stacks. Its GraphRAG and Knowledge Studio products connect to existing knowledge graphs and data platforms, so extracted entities and relationships can feed downstream analytics and AI applications. The vendor states that more than 50 integrations are available. Developers can work through the Perseus platform and its API, which exposes document parsing, ontology enrichment, and text-to-graph features for custom pipelines. Its data cleaning and sentiment analysis APIs can process customer feedback from review sites and social media, then route insights to the right teams. Specific connector names should be confirmed with Lettria during a demo.

FAQ

Lettria