Difference between revisions of "AI tools"

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(Document Parsing)
(Data Scraping)
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* [https://github.com/imputnet/cobalt Cobalt]
 
* [https://github.com/imputnet/cobalt Cobalt]
 
* [https://github.com/soimort/you-get You-Get]: Web video downloader tool
 
* [https://github.com/soimort/you-get You-Get]: Web video downloader tool
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 +
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===Document Parsing===
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* [https://github.com/DS4SD/docling Docling]: converts multiple formats (PDF, DOCX, PPTX, Images, HTML) into Markdown and JSON
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* [https://github.com/microsoft/markitdown Microsoft Markitdown]: converts various formats (PDF, Word, Excel, PPT) to Markdown (available via [https://msftmd.replit.app/ web interface on replit])
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* [https://github.com/wisupai/e2m e2m: Everything to Markdown] (doc, docx, epub, html, htm, url, pdf, ppt, pptx, mp3, and m4a)
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* Nvidia [https://docs.nvidia.com/nv-ingest/user-guide/index.html NV-ingest] ([https://github.com/NVIDIA/nv-ingest code]) scalable, performance-oriented document content and metadata extraction microservice
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* [https://github.com/QuivrHQ/MegaParse MegaParse]: Your Parser for every type of documents (pdf, powerpoint, word)
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* [https://github.com/harishdeivanayagam/rowfill Rowfill]: Open-source document processing; extract, analyze, and process data from complex documents, images, PDFs and more with AI
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* [https://github.com/getomni-ai/zerox Zerox]: PDF to markdown vision model (OCR)
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* [https://docs.llamaindex.ai/en/stable/llama_cloud/llama_parse/ LlamaParse] ([https://github.com/run-llama/llama_cloud_services/blob/main/examples/parse/multimodal/gemini2_flash.ipynb example use for multimodal parsing])
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* [https://github.com/VikParuchuri/marker Marker]: PDFs and images to markdown
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====PDF Conversion====
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* [https://github.com/kermitt2/grobid Grobid] ([https://kermitt2-grobid.hf.space/ use online])
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* [https://chunkr.ai/ Chunkr] ([https://github.com/lumina-ai-inc/chunkr code])
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* [https://github.com/opendatalab/PDF-Extract-Kit PDF-Extract-Kit]
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* [https://www.philschmid.de/gemini-pdf-to-data Gemini 2.0]
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====PDF Language Translation====
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* [https://github.com/Byaidu/PDFMathTranslate?tab=readme-ov-file PDFMathTranslate] ([https://pdf2zh.com/ online demo])
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====Structured Data Extraction====
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* [https://unstract.com/ Unstract]: [https://github.com/Zipstack/unstract Intelligent Document Processing] (IDP): No-code LLM Platform to structure unstructured documents
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====Screenshot====
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* Microsoft [https://github.com/microsoft/OmniParser OmniParser]: Screen Parsing tool for Pure Vision Based GUI Agent
  
 
=See Also=
 
=See Also=

Revision as of 09:48, 24 February 2025

Contents

LLM

Open-weights LLM

For Coding

Rankings: bigcode-models-leaderboard and CodeElo leaderboard

Reasoning

See also: Increasing AI Intelligence > Proactive Search > CoT reasoning model

Cloud LLM

Multi-modal: Audio

Triage

Retrieval Augmented Generation (RAG)

Reviews

Measuring RAG performance

Analysis of RAG overall

Approaches

Open-source Implementations

Web-based Tools

  • SciSpace Chat with PDF (also available as a GPT).

Commercial Cloud Offerings

Document Parsing

TBD

Automatic Optimization

Analogous to Gradient Descent

LLM for scoring/ranking

LLM Agents

Interfaces

Chatbot Frontend

Web (code)

Web (product)

Desktop GUI

Alternative Text Chatbot UI

  • Loom provides a sort of tree-like structure for LLM coming up with branched writings.
  • The Pantheon Interface is a new idea for how to interact with LLMs (live instance, code). In a traditional interaction, you prompt the bot and it replies in a turn-by-turn manner. Pantheon instead invites you to type out your thoughts, and various agents will asynchronously add comments or questions to spur along your brainstorming.

Conversational Audio Chatbot

Related Research

Commercial Systems

Speech Recognition (ASR) and Transcription

Lists

Open Source

In Browser

  • Whisper Timestamped: Multilingual speech recognition with word-level timestamps, running locally in browser

Phrase Endpointing and Voice Activity Detection (VAD)

I.e. how to determine when user is done talking, and bot should respond?

Audio Cleanup

  • Krisp AI: Noise cancellation, meeting summary, etc.

Text-to-speech (TTS)

Open Source

Cloud

Text-to-audio

Vision

  • Langfun library as a means of converting images into structured output.

Visual Models

Multi-modal Models (language-vision/video)

Optical character recognition (OCR)

Related

Embedding

Image Embedding

Time Series


Control

Forecasting

Data

Vector Database

Open Source

Commercial cloud

MySQL

Database with Search

Data Scraping

Web Scraping

  • Firecrawl: API to turn websites into LLM-ready markdown or structured data (can be self-hosted)
  • Crawl4AI: Crawl Smarter, Faster, Freely. For AI.
  • ScrapeGraphAI: You Only Scrape Once: web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.)
  • pipet: A swiss-army tool for scraping and extracting data from online assets
  • ScrapeGraphAI: You Only Scrape Once
  • Scrapling: Undetectable, Lightning-Fast, and Adaptive Web Scraping for Python
  • sitefetch: Fetch entire site into text file (to be used with AIs)
  • LLM Scraper: Turn webpage into structured data using LLMs
  • Trafilatura: Discover and Extract Text Data on the Web

llms.txt Generator

Headless Browser (scrape & automate)

Code & Github

Media Files


Document Parsing

PDF Conversion

PDF Language Translation

Structured Data Extraction

Screenshot

  • Microsoft OmniParser: Screen Parsing tool for Pure Vision Based GUI Agent

See Also