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Document Parsing
Effective document parsing is crucial for transforming unstructured data into structured formats, enabling efficient information retrieval and analysis.
GraphRAG enhances this process by integrating graph-based data structures with advanced AI-driven language models, offering more precise and contextually relevant insights.
See how
Lettria outperforms competing tools
Read a detailed analysis of the performance of Lettria's Text Cleaning API vs. that of unstructured.io. See how Lettria compares and outperforms.
Connect with all your sources
GraphRAG's document parser efficiently extracts text from various formats, including PDFs and images, ensuring that all relevant information is captured accurately.
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.
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Create and manage your datasets
Our dataset manager empowers you to oversee your sources, facilitating seamless collaboration between teams and repurposing data for additional GraphRAG projects across your organization. Transform your datasets into valuable data assets with ease.
Automated Data Structuring
Manually structuring data can be tedious. Lettria automates this task, offering precise parsing tailored to each data type, making it easy to manage complex documents, such as legal contracts or financial reports.
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Do this again and again, at scale
The majority of GraphRAG projects fail before they even get started. By leveraging Lettria's Document Parsing API, you can efficiently convert unstructured data into structured formats, paving the way for deeper analysis and informed decision-making.
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Patrick Duvaut
Head of Innovation
Patrick Duvaut
Head of Innovation
Patrick Duvaut
Head of Innovation