# katanaml/sparrow **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/katanaml-sparrow).** 5,162 stars · 517 forks · Python · GPL-3.0 ## Links - GitHub: https://github.com/katanaml/sparrow - Homepage: https://sparrow.katanaml.io - awesome-repositories: https://awesome-repositories.com/repository/katanaml-sparrow.md ## Topics `agentic-ai` `computer-vision` `documentai` `huggingface-transformers` `llm` `machinelearning` `vllm` ## Description Sparrow is an LLM document extraction platform and vision-based inference engine designed to convert images and PDFs into validated structured data. It functions as an agentic workflow orchestrator that chains classification, extraction, and validation tasks into multi-step pipelines. The system distinguishes itself through a backend-agnostic inference layer that manages models across local GPUs, Apple Silicon, and cloud providers. It employs coordinate-based visual grounding to map extracted text to precise bounding box coordinates and utilizes hint-based model steering to guide attention and normalize data formats. The platform covers document intelligence workflows, including specialized image-based table processing to maintain structural integrity and schema-driven validation to verify the correctness of extracted fields. It also provides a document analysis dashboard for monitoring API performance, usage analytics, and system health. The architecture includes a plugin-based extension system for integrating third-party libraries used in indexing and orchestration. ## Tags ### Artificial Intelligence & ML - [Intelligent Document Processing](https://awesome-repositories.com/f/artificial-intelligence-ml/intelligent-document-processing.md) — Provides a platform for intelligent document processing, combining classification, extraction, and validation into multi-step pipelines. - [Vision-Language Model Backends](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-processing/structured-document-extraction/vision-language-model-backends.md) — Uses vision-capable language models to parse document layouts and convert visual content into structured data. - [Agentic Workflow Pipelines](https://awesome-repositories.com/f/artificial-intelligence-ml/agentic-workflow-pipelines.md) — Implements automated pipelines that chain LLM instructions and external tools for complex document analysis and error recovery. - [Hardware Acceleration Backends](https://awesome-repositories.com/f/artificial-intelligence-ml/hardware-acceleration-backends.md) — Manages extraction pipelines across diverse hardware accelerators including local and cloud-based backends. ([source](https://github.com/katanaml/sparrow/blob/main/README.MD)) - [Image Text Extractions](https://awesome-repositories.com/f/artificial-intelligence-ml/image-text-extractions.md) — Recognizes and extracts text and key-value pairs from images and PDFs as structured data. ([source](https://github.com/katanaml/sparrow/tree/main/sparrow-data/ocr)) - [Vision-Language Orchestrators](https://awesome-repositories.com/f/artificial-intelligence-ml/llm-orchestrators/vision-language-orchestrators.md) — Manages model inference across local GPUs, Apple Silicon, and cloud providers to process visual document data. - [Hardware-Agnostic Inference Layers](https://awesome-repositories.com/f/artificial-intelligence-ml/machine-learning/infrastructure/model-inference-serving/inference-engines/hardware-agnostic-inference-layers.md) — Provides a hardware-agnostic inference layer that routes processing to local GPUs, Apple Silicon, or cloud providers. - [Structured Document Extraction](https://awesome-repositories.com/f/artificial-intelligence-ml/natural-language-processing/structured-document-extraction.md) — Converts visual document layouts into machine-readable structured formats using vision-capable models. ([source](https://github.com/katanaml/sparrow/blob/main/CHANGELOG.md)) - [Vision-Language Inference](https://awesome-repositories.com/f/artificial-intelligence-ml/vision-language-inference.md) — Implements a vision-language inference engine that executes multimodal models across various hardware backends. - [Workflow Orchestration](https://awesome-repositories.com/f/artificial-intelligence-ml/workflow-orchestration.md) — Combines document classification and data extraction into a single AI workflow pipeline with visual monitoring. ([source](https://github.com/katanaml/sparrow/blob/main/CHANGELOG.md)) - [Local Model Backends](https://awesome-repositories.com/f/artificial-intelligence-ml/local-model-backends.md) — Supports running inference across a variety of backends including local GPUs, Apple Silicon, and cloud providers. ([source](https://github.com/katanaml/sparrow/tree/main/sparrow-data/parse)) - [Attention Steering Hints](https://awesome-repositories.com/f/artificial-intelligence-ml/reasoning-models/reasoning-steering/attention-steering-hints.md) — Uses hint-based configuration files to steer model attention and normalize extracted data formats. - [Extraction Hinting](https://awesome-repositories.com/f/artificial-intelligence-ml/reasoning-models/reasoning-steering/extraction-hinting.md) — Uses hint-based model steering to guide attention and normalize data formats during the extraction process. ([source](https://github.com/katanaml/sparrow/blob/main/README.MD)) ### Data & Databases - [Document Field Validations](https://awesome-repositories.com/f/data-databases/custom-data-fields/custom-field-validation/document-field-validations.md) — Checks extracted document fields against schemas to verify the presence and correctness of required data. ([source](https://github.com/katanaml/sparrow/blob/main/README.MD)) - [Structured Data Extraction](https://awesome-repositories.com/f/data-databases/structured-data-extraction.md) — Parses complex tables and text from documents into predefined schemas with bounding box coordinate mapping. - [PDF Coordinate Extraction](https://awesome-repositories.com/f/data-databases/text-processing-utilities/text-extraction/coordinate-based-extraction/pdf-coordinate-extraction.md) — Extracts precise bounding box coordinates for recognized text regions within PDF pages. ([source](https://github.com/katanaml/sparrow/tree/main/sparrow-data/ocr)) - [Document Table Extractors](https://awesome-repositories.com/f/data-databases/data-engineering-infrastructure/data-extraction-ingestion/table-extraction-utilities/document-table-extractors.md) — Maps large or multi-column tables from documents to structured schemas using an intermediate processing pipeline. ([source](https://github.com/katanaml/sparrow#readme)) ### DevOps & Infrastructure - [Agentic Workflow Orchestrators](https://awesome-repositories.com/f/devops-infrastructure/automation-orchestration/task-execution-frameworks/task-job-management/task-schedulers/agent-task-managers/conversational-task-wrappers/agentic-workflow-orchestrators.md) — Functions as an orchestrator that chains LLM classification, extraction, and validation tasks with integrated error recovery. - [Pipeline Orchestrators](https://awesome-repositories.com/f/devops-infrastructure/containerized-service-orchestration/pipeline-orchestrators.md) — Chains classification, extraction, and validation tasks into sequenced pipelines with error recovery. ### Software Engineering & Architecture - [Schema-Driven Validations](https://awesome-repositories.com/f/software-engineering-architecture/data-validation-schemas/schema-driven-validations.md) — Verifies extracted document fields against predefined structural definitions to ensure data correctness. ### User Interface & Experience - [Extraction Coordinate Annotations](https://awesome-repositories.com/f/user-interface-experience/data-extraction-visualizers/extraction-coordinate-annotations.md) — Generates bounding box coordinates for extracted elements to provide visual grounding for the data. ([source](https://github.com/katanaml/sparrow/tree/main/sparrow-data/parse)) - [Visual Coordinate Mapping](https://awesome-repositories.com/f/user-interface-experience/data-to-ui-mappings/visual-coordinate-mapping.md) — Maps extracted text to precise bounding box coordinates for visual grounding within documents. - [Tabular Data Extraction](https://awesome-repositories.com/f/user-interface-experience/html-content-processing/pdf-and-html-content-extraction/tabular-data-extraction.md) — Extracts complex tabular data from documents while maintaining structural integrity through specialized vision processing. ([source](https://github.com/katanaml/sparrow/tree/main/sparrow-data/parse)) ### Web Development - [OCR Document Conversion](https://awesome-repositories.com/f/web-development/document-conversion-apis/ocr-document-conversion.md) — Converts images and PDFs into validated structured data using vision models and schema-based validation. ([source](https://github.com/katanaml/sparrow#readme)) ### Content Management & Publishing - [Document Processing Pipelines](https://awesome-repositories.com/f/content-management-publishing/content-processing-transformation/document-processing-conversion/document-processing-tools/pdf-processing-engines/pdf-processing/document-processing-pipelines.md) — Extracts and analyzes data across documents containing multiple pages using orchestrated pipelines. ([source](https://github.com/katanaml/sparrow/blob/main/CHANGELOG.md)) - [Table Structure Detections](https://awesome-repositories.com/f/content-management-publishing/content-processing-transformation/document-processing-conversion/document-processing/data-extraction-analysis/document-layout-analyzers/table-structure-detections.md) — Identifies tabular grids and merges cells within document layouts to crop them for specialized inference. ([source](https://github.com/katanaml/sparrow/blob/main/CHANGELOG.md)) - [Image-Based Table Extractors](https://awesome-repositories.com/f/content-management-publishing/documentation-knowledge-management/pdf-structural-elements/table-extraction-utilities/image-based-table-extractors.md) — Identifies tabular regions and crops them into images for specialized inference to preserve structural integrity. ### System Administration & Monitoring - [Document Analysis Dashboards](https://awesome-repositories.com/f/system-administration-monitoring/document-analysis-dashboards.md) — Provides a visual dashboard for monitoring API performance, usage analytics, and the operational health of extraction pipelines. ### Part of an Awesome List - [Data Processing](https://awesome-repositories.com/f/awesome-lists/data/data-processing.md) — Solution for efficient data extraction from documents and images. - [Data Processing Tools](https://awesome-repositories.com/f/awesome-lists/data/data-processing-tools.md) — Solution for efficient data extraction from documents and images.