Unstract

How to automate unstructured data ETL workflows for invoice processing with Unstract: ?? Step 1: Set Up Unstract ? Sign up for a 14-day free trial (includes ?? $10 in LLM tokens). ?? Configure your LLM provider, embeddings, vector database, and text extractor under SETTINGS. ?? Step 2: Extract Key Invoice Data Using Prompt Studio, create prompts to extract fields like: ?? Invoice details (?? Number, ?? Date, ?? Customer Name, ?? Address) ?? Line items (?? Description, ?? Quantity, ?? Price) ?? Totals (?? Subtotal, ?? Tax, ?? Total) ?? Step 3: Automate the Workflow ?? Connect your sources and destinations. ?? Package your extraction project into a workflow and deploy it as an ETL pipeline. ? Run it on-demand or schedule it with cron jobs. Why It Matters: ? Save hours of manual data entry. ?? Get structured outputs ready for analytics. ?? Improve accuracy with LLM-powered extraction. ? Ready to automate your invoice processing? Try Unstract today! ??https://lnkd.in/e6qZ_zzK

Lightspeed has backed leading AI-native companies originating from India/SEA across industries, including: ? Enterprise - Bridgetown Research, Gushwork, Pepper Content, Rattle ??, Thena, Yellow.ai ? Industry Verticals - Triomics, Qure.ai, Innovaccer ? Consumer - Pocket FM, ShareChat, Stimuler ? AI/ML Operations - Marqo, Unstract ? Security & Observability - Acceldata, Portkey ? Foundational Models - Sarvam And more to come!

AI adoption is shifting from experimentation to real-world applications across industries. In gaming and interactive media, development and consumer adoption are still growing, but foundation models have already driven significant value for companies, developers, and players. Many believe the next big leap in AI is world models—generative "engine-less" virtual worlds that can respond to player input with increasing spatial consistency, temporal integrity, and statefulness. Check out our blog to explore the history of AI world models in gaming, and our predictions for world models in the future: https://lnkd.in/euNwwqqq Thanks to Naavik for partnering with us on this article. Cc: Moritz Baier-Lentz ??, Faraz Fatemi

Open-Source Unstructured Data ETL with Unstract: Unstract is an open-source document processing tool that extracts structured data from PDFs, images, and scanned files—giving you full control over your document workflows. ?? Modular & Flexible – Customize your pipeline to fit your needs ?? AI Stack Agnostic – Integrate with any LLM, vector database, embedding model, or text extractor ? Choose from DeepSeek R1, Mistral AI, @Llama, and more ? Store embeddings in PGVector, ChromaDB, Weaviate ? Use Ollama, Hugging Face, or custom embedding models ? Extract text with LLMWhisperer, Unstructuredio, LlamaParse No vendor lock-in, just pure flexibility. Build your ideal document processing stack! See how: https://lnkd.in/gD6Tr5Hz ?? #AI #OpenSource #DocumentProcessing

Accurate document parsing is critical for automating workflows, reducing errors, and improving efficiency ?. While tools like Tesseract, Google Cloud Vision, and Amazon Textract offer powerful solutions, they often struggle with preserving document layouts—especially when working with LLMs for data extraction ????. Unstract's LLMWhisperer changes the game ??. With superior layout preservation, cost efficiency ??, and advanced parsing for complex formats (like vertical text and intricate tables ??), it’s a strong alternative for businesses looking for more reliable document processing. If layout accuracy and nuanced parsing matter to you, it’s time to take a closer look at LLMWhisperer ??. Read: https://lnkd.in/emfH-jHA #DocumentProcessing #AI

?? Build Your Own Open-Source Document Extraction Pipeline with Unstract, Ollama, DeepSeek AI, and Postgresql! Want full control over your unstructured data ETL process—without relying on proprietary cloud services? This guide walks you through setting up a fully open-source, locally hosted document extraction environment using: ?? Unstract Open Source – The core document processing engine ?? Ollama – Run local LLMs effortlessly ?? Ollama Embeddings – Generate vector representations of extracted text ?? Unstructured.io – Open-source text extraction & OCR ?? PostgreSQL + PGVector – Store and query vectorized data efficiently By the end, you'll have a privacy-first, cost-efficient, and flexible AI-powered pipeline for document processing—entirely under your control. Check out the full guide here: https://lnkd.in/gD6Tr5Hz #OpenSource #LLM #ETL #AI #UnstructuredData

?? Excited to Launch My Weekly AI Tools Series! ?? link:https://lnkd.in/g6xq9EAB This week, I’m thrilled to introduce Unstract—an open-source AI document parser that’s transforming how we process complex documents. ?? What is Unstract? Unstract simplifies and streamlines the handling of diverse documents, including: Scanned images ?? Spreadsheets ?? Lengthy PDFs ?? ? What makes Unstract special? Beyond basic text extraction, it delivers: Accurate text output Location metadata for improved usability, enabling precise highlighting and efficient search functionality ?? Why is this important? From legal contracts to financial reports, Unstract’s features can unlock new levels of productivity and accuracy for industries like healthcare, finance, legal, and more. ?? Technical Highlights: Unstract leverages advanced AI techniques to make document parsing smarter and faster. Whether you’re a developer looking for an open-source solution or a business professional seeking automation, Unstract has something valuable to offer. ?? Potential Impact: Imagine automating tedious document workflows, enhancing searchability, and reducing human error—all with one powerful tool. ?? Ready to explore Unstract and see how it can transform your work? Check it out here: [Add Link] Let me know your thoughts in the comments—how would you use Unstract in your field? Or share what AI tools you’d like to see featured in this series next! #AI #OpenSource #DocumentParsing #Automation #Productivity

?? Efficient Document Data Extraction with LLMs & Vector Databases Extracting structured data from unstructured documents is often tedious with traditional tools. Unstract using LLMs alongside Timescale Cloud, automates this process, removing the need for manual annotations. ?? Start exploring how Unstract can simplify structured data extraction from unstructured documents. ?? read here: https://lnkd.in/gWaaYeHQ

Watch as Developers Digest dives into Unstract, the AI-powered, no-code platform built to automate processing large unstructured documents—PDFs, images, and scanned files. They break down the common frustrations with unstructured data: time-consuming, error-prone manual processes—and how Unstract solves this by automating tasks like document classification, data extraction, and validation. https://lnkd.in/gv7Fu9Gg

?? Check out Josh Pocock's video walkthrough of Unstract! Learn how to transform any unstructured data into RAG-ready LLM Data API endpoints effortlessly. ?? Watch here: https://lnkd.in/gbGS3P_a