DALI is an open-source framework that combines OCR, table extraction, and vision-language models to empower interactive question answering, summarization, and data extraction from documents. It streamlines document AI pipeline creation through modular components and customizable workflows, accelerating research and development in document understanding.
AI Platforms & Frameworks
Document Processing
Research
#document AI
#OCR integration
#table extraction
#multimodal processing
#customizable SDK
#image to text
#data automation
#Interactive Interfaces
#document understanding
#AI Agents
#machine learning pipelines
#Open-source tools
#scanned document processing
#multi-model orchestration
#query answering
#cloud integration
#efficient data management
#Software Development Kit
#Research Tools
#Workflow optimization
...
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DALI
DALI is an open-source framework that combines OCR, table extraction, and vision-language models to empower interactive question answering, summarization, and data extraction from documents. It streamlines document AI pipeline creation through modular components and customizable workflows, accelerating research and development in document understanding.
AI Platforms & Frameworks
Document Processing
Research
#document AI
#OCR integration
#table extraction
#multimodal processing
#customizable SDK
#image to text
#data automation
#Interactive Interfaces
#document understanding
#AI Agents
#machine learning pipelines
#Open-source tools
#scanned document processing
#multi-model orchestration
#query answering
#cloud integration
#efficient data management
#Software Development Kit
#Research Tools
#Workflow optimization
...
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What is DALI?
DALI provides a modular, extensible SDK for building document AI agents capable of ingesting images, PDFs, and scanned files. It integrates OCR engines and vision-language models to detect layout elements, extract tables, and answer user queries. Developers can customize pipelines, plug in different LLMs, and deploy interactive web or command-line interfaces. With built-in support for caching, batching, and multi-model orchestration, DALI accelerates document understanding tasks with minimal code.
Who will use DALI?
- Data scientists
- AI researchers
- Software developers
- Digital archivists
- Legal and financial analysts
How to use the DALI?
- Step1: Clone the DALI repository or install via pip.
- Step2: Configure your preferred OCR engine and language model API keys in config file.
- Step3: Ingest documents or images into the pipeline using provided dataset loaders.
- Step4: Define query templates and processing modules in your Python script or notebook.
- Step5: Run the interactive CLI or integrate the web interface to ask questions and retrieve answers.
Platform
- mac
- windows
- linux
DALI's Core Features & Benefits
The Core Features
- Multimodal document ingestion (PDF, image, scanned)
- OCR integration (Tesseract, PaddleOCR, etc.)
- Table detection and extraction
- Vision-language question answering
- Document summarization
- Customizable pipeline components
- Model orchestration and caching
The Benefits
- Accelerates document understanding development
- Open-source and vendor-agnostic
- Flexible integration with various LLMs and OCR engines
- Modular design for easy customization
- Reduces manual data labeling effort
- Supports research and production workflows
DALI's Main Use Cases & Applications
- Academic research on historical document analysis
- Legal contract review and clause extraction
- Financial report summarization and data extraction
- Digitization of archival records
- Compliance monitoring in regulated industries
FAQs of DALI
DALI Company Information
- University of L'Aquila DISIM
DALI Reviews
5/5
DALI's Main Competitors and alternatives?
- Haystack
- LangChain
- LlamaIndex
- Microsoft Semantic Kernel
- DocArray
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