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Life & fun · alternatives · 2026

24 alternatives to A new annotation tool for information extraction with Mechanical Turk

Intuitive Annotation Tool for Information Extraction / Named Entity Recognition using localturk / Amazon Mechanical Turk - Varal7/ieturk

This is an annotation tool designed to facilitate information extraction tasks using Amazon Mechanical Turk. It helps researchers and developers create and manage crowdsourced labeling projects by streamlining the… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A new annotation tool for information extraction with Mechanical Turk launched in 2018; newer entries below may have overtaken it.

  1. 1DO
  2. 2MD
  3. 3AL

    Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…

    2021 · its alternatives →

  4. 4

    Hi HN, I built a tool for teaching LLMs how to extract structured data from documents by annotating, not prompt engineering. I’d love your feedback. How it works: - Upload a document (DOCX, PDF, image, etc.) - Select and tag parts of it (supports nesting, arrays, custom tag structures) - Upload another document → click "predict" → see editable annotations - Amend them and save as a new example - Call the API with a third document → get JSON back Use cases: - Identify "important clauses" in contracts - Extract "total value" from invoices - Anything subjective, like "healthy ingredients" on a…

    2025 · deeptagger.com · its alternatives →

  5. 5

    The easy way to turn text into structure data

    2021 · getmarkup.com · its alternatives →

  6. 6WA
  7. 7

    I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...

    2024 · embedding.io · its alternatives →

  8. 8

    Get actionable data from text with machine learning

    2018 · medallia.com · its alternatives →

  9. 9

    Semantic search for your technical documentation & knowledge

    2023 · gitbook.com · its alternatives →

  10. 10

    A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported - andywang0607/AutoAnnotationTool

    2020 · github.com · its alternatives →

  11. 11

    AI tool database organized by industry, function, and task

    2025 · retrieve.tools · its alternatives →

  12. 12

    AI powered skill extraction tool

    2022 · its alternatives →

  13. 13
  14. 14
    Gengo.ai▲125

    22,000 linguists annotate your machine learning data 👩🏽‍💻🌏

    2018 · its alternatives →

  15. 15

    The text annotation tool for teams

    2020 · talperry.com · its alternatives →

  16. 16

    :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World

    2017 · github.com · its alternatives →

  17. 17

    2020 · kontxt.io · its alternatives →

  18. 18

    NLP crowdsourcing platform for word-level annotations - salsowelim/tawseem

    2019 · github.com · its alternatives →

  19. 19
    NLP-API▲69

    Natural Language Processing tools REST API

    2023 · its alternatives →

  20. 20PA

    Hey HN, I’m Jordan cofounder of Humanloop (YC S20) and I’m excited to show you Programmatic — an annotation tool for building large labeled datasets for NLP without manual annotation. Programmatic is like a REPL for data annotation. You: 1. Write simple rules/functions that can approximately label the data 2. Get near-instant feedback across your entire corpus 3. Iterate and improve your rules Finally, it uses a Bayesian label model [1] to convert these noisy annotations into a single, large, clean dataset, which you can then use for training machine learning models. You can…

    2022 · programmatic.humanloop.com · its alternatives →

  21. 21WM
  22. 22

    Easily annotate images you get on Slack - just like Skitch

    2015 · its alternatives →

  23. 23

    A web-based document annotation tool, powered by AI :rocket: - samueldobbie/markup

    2023 · github.com · its alternatives →

  24. 24

    Annotate complex data 10x faster with AI

    2022 · datature.io · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →