Showing 9 open source projects for "text batch processing tools"

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  • 1
    text-extract-api

    text-extract-api

    Document (PDF, Word, PPTX ...) extraction and parse API

    ...Instead of requiring developers to integrate multiple document parsing libraries individually, the system centralizes text extraction capabilities into a unified API that standardizes the output. The platform supports automated processing pipelines that detect file types and apply the appropriate extraction method to obtain the most accurate text representation possible. It can be integrated into document analysis systems, knowledge retrieval tools, and AI pipelines that rely on clean textual data. ...
    Downloads: 0 This Week
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  • 2
    LLM-Aided OCR Project

    LLM-Aided OCR Project

    Enhances Tesseract OCR output using LLMs (local or API)

    ...This AI-assisted correction process helps reconstruct missing characters, fix formatting mistakes, and produce more coherent text outputs. The project is particularly useful for digitizing historical documents, research papers, and scanned materials where traditional OCR often struggles. It also includes tools for processing batches of images or documents, enabling automated document digitization workflows.
    Downloads: 0 This Week
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  • 3
    LLM TLDR

    LLM TLDR

    95% token savings. 155x faster queries. 16 languages

    ...To enhance usability, LLM-TLDR includes command-line tools and integration examples for common workflows like batch summarization, webhook ingestion, and automation in documentation pipelines.
    Downloads: 0 This Week
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  • 4
    Sparrow

    Sparrow

    Structured data extraction and instruction calling with ML, LLM

    Sparrow is an open-source platform designed to extract structured information from documents, images, and other unstructured data sources using machine learning and large language models. The system focuses on transforming complex documents such as invoices, receipts, forms, and scanned pages into structured formats like JSON that can be processed by downstream applications. It combines several components, including OCR pipelines, vision-language models, and LLM-based reasoning modules to...
    Downloads: 0 This Week
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  • 5
    NarratoAI

    NarratoAI

    Using AI models to automatically provide commentary and edit videos

    NarratoAI is an open-source platform designed to automate the generation of narrative content using artificial intelligence. The system combines large language models with media processing capabilities to create scripts, stories, and structured narrative outputs from user inputs. NarratoAI supports workflows where users provide prompts, themes, or source materials, and the software organizes them into coherent narrative structures suitable for articles, scripts, or multimedia storytelling. The project integrates multiple AI components such as text generation models, content structuring pipelines, and automated editing tools to streamline content creation. ...
    Downloads: 2 This Week
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  • 6
    Streamer-Sales

    Streamer-Sales

    LLM Large Model of Selling Anchor

    Streamer-Sales is an open-source large language model system designed specifically for e-commerce live streaming and automated product promotion. The project focuses on generating persuasive product descriptions and live presentation scripts that mimic the style of professional online sales hosts. By analyzing product characteristics and marketing information, the model can produce engaging explanations that emphasize benefits, features, and emotional appeal to encourage viewers to make...
    Downloads: 0 This Week
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  • 7
    NVIDIA Generative AI Examples

    NVIDIA Generative AI Examples

    Generative AI reference workflows

    NVIDIA GenerativeAIExamples is an open-source repository that provides practical reference implementations and example workflows for building generative AI applications using NVIDIA’s software ecosystem. The project is designed to help developers accelerate the development of AI applications by providing ready-to-run pipelines, notebooks, and tools that demonstrate how to integrate large language models into real-world systems. The repository includes examples covering topics such as retrieval-augmented generation pipelines, agent-based workflows, and multimodal AI applications that combine text, vision, and data processing. Many of the examples show how to deploy AI services using containerized environments, GPU acceleration, and microservices that can scale across modern infrastructure. ...
    Downloads: 0 This Week
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  • 8
    YAYI

    YAYI

    Repo for YaYi Chinese LLMs based on LlaMA2 & BLOOM

    YAYI is an open-source large language model project developed to provide a multilingual conversational AI system capable of performing a wide variety of natural language processing tasks. The model is trained on diverse datasets covering multiple languages and domains so that it can support applications ranging from dialogue systems to text analysis and knowledge retrieval. The architecture is based on transformer-style language models optimized for conversational understanding and generation. In addition to producing coherent responses, the system is designed to handle tasks such as summarization, translation, question answering, and text classification. ...
    Downloads: 0 This Week
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  • 9
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    ...Towhee includes a pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, making processing unstructured data as easy as handling tabular data.
    Downloads: 0 This Week
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