Lettria NLP Studio

Text Mining API

Trained meticulously on our proprietary datasets, our text mining solution delivers 30% better performance* on average over open-source alternatives, while ensuring full transparency and accessibility from day one.

See how Lettria's Sentiment Analysis outperforms other options

Read a detailed analysis of the performance of the world's most widely used models for sentiment analysis tasks. See how Lettria compares and outperforms the rest.

Read our sentiment analysis benchmark

Connect with all your sources

Choose from an expansive collection of data connectors or simply import your own files in various formats.

To ensure privacy, your data is safeguarded in a secure environment only you have access to. This data can be conveniently reused across all of your current and future word processing projects.

Create and manage your datasets

The dataset manager gives you the power to oversee your sources to effortlessly collaborate between teams as well as repurpose the sources for additional NLP projects across your organization. Datasets are transformed into data assets.

A magic wand for text

Manually cleaning up data can be a pain, but our pain is your gain. We have worked hard to automatic this tedious task and make it available to all our users.

Lettria now offers a precise cleaning formula that can be applied to each data type which makes it easy to manage cluttered data, such as speech-to-text transcripts.

Frequently Asked Questions

Who benefits most from this platform?

Lettria is ideal for organizations in finance, insurance, healthcare, legal, and life sciences—anywhere unstructured or semi‑structured documents (contracts, claims, reports) must be processed with structure, clarity, and auditability

What analytics and monitoring are available?

The platform includes dashboards for usage metrics, extraction accuracy, workflow monitoring, and audit logs—supporting compliance tracking and process visibility .

How is transparency ensured in GenAI use?

Lettria’s GraphRAG engine preserves original document structures and traces each extracted element back to its source. This enables explainable, auditable outputs—essential in regulated domains

Can I build and test in no-code?

Yes—our studio offers drag‑and‑drop document uploads, built‑in ML tools, prompt engineering, and guided AutoML via AutoLettria. Business users can spin up prototypes in days (not months) and deploy production flows via APIs

How flexible are integrations?

The platform is API-first, with over 50 native connectors (e.g., SharePoint, S3) and Power Automate logic app support. Lettria embeds into existing workflows via APIs and webhooks.

How is security and compliance addressed?

Data is hosted on European servers with end-to-end encryption and SSL/TLS. We’re GDPR-compliant and undergo regular audits with ANSSI collaboration—ensuring enterprise-grade privacy and trust

How does the platform support knowledge management?

Our Knowledge Studio includes dictionary, taxonomy, and ontology modules. You can enrich dictionaries with auto-detected keywords and upload/import taxonomies or ontologies (.rdf, .owl, .skos) for editorial and collaborative enrichment

What core capabilities are included in Lettria’s platform?

Lettria delivers a full suite of NLP and AI tools: OCR ingestion, text cleaning, text labeling, table parsing, classification, entity recognition, semantic search, batch annotation, prompt engineering, and robust analytics dashboards—designed for complex document workflows

Start to accelerate your AI adoption today.

Boost RAG accuracy by 30 percent and watch your documents explain themselves.