Life & fun · alternatives · 2026

24 alternatives to An annotation tool for ML and NLP

The easy way to turn text into structure data

An annotation tool for ML and NLP helps teams label and prepare data for machine learning and natural language processing projects. It is designed for data scientists, researchers, and ML engineers who need to… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. An annotation tool for ML and NLP launched in 2021; newer entries below may have overtaken it.

1. 1
   Codex by OpenAI▲954

   OpenAI's smartest and most intuitive to use model yet

   2021 · openai.com · its alternatives →

2. 2
   ML Annotator▲79

   Annotate machine learning data sets and output to models

   2022 · apps.apple.com · its alternatives →

3. 3
   LightTag▲71

   The text annotation tool for teams

   2020 · talperry.com · its alternatives →

4. 4
   Rules-based labelling tool for NLP▲55

   2021 · github.com · its alternatives →

5. 5
   Markup▲73

   Turn text into structured data using GPT-4

   2023 · getmarkup.com · its alternatives →

6. 6
   Annotate▲106

   Powering AI, one data point at a time

   2023 · annotate.my.canva.site · its alternatives →

7. 7
   MonkeyLearn 3.0▲363

   Get actionable data from text with machine learning

   2018 · medallia.com · its alternatives →

8. 8
   DeepTagger▲386

   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 →

9. 9
   An annotation tool for ML and NLP▲5

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

   2023 · github.com · its alternatives →

10. 10
    OCR pipeline for ML training (tables, diagrams, math, multilingual)▲170

    Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…

    2025 · github.com · its alternatives →

11. 11
    Lionbridge AI Annotation Platform▲78

    All-in-one data annotation platform for machine learning

    2019 · its alternatives →

12. 12
    AnnotateAI▲83

    Human-guided AI data annotation, fast & scalable

    Feb 2026 · annotateai.xyz · its alternatives →

13. 13
    Data Labeling Platform▲239

    Manage your computer vision data labeling

    2024 · labelyourdata.com · its alternatives →

14. 14
    retrieve.tools▲286

    AI tool database organized by industry, function, and task

    2025 · retrieve.tools · its alternatives →

15. 15
    Igel – A CLI tool to run machine learning without writing code▲405

    a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel

    2020 · github.com · its alternatives →

16. 16
    MindsDB▲235

    In-database machine learning

    2022 · its alternatives →

17. 17AL
    A labelling tool to easily extract and label Wikipedia data▲116

    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 →

18. 18
    Datasaur▲90

    Manage your entire data labeling workflow with a single tool

    2020 · datasaur.ai · its alternatives →

19. 19
    Gengo.ai▲125

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

    2018 · its alternatives →

20. 20
    SuperAnnotate Desktop▲226

    Super easy and fast ML annotations on your PC

    2020 · superannotate.com · its alternatives →

21. 21
    automl-docker▲68

    Open-source, easily create ready-to-use ML models for NLP

    2022 · github.com · its alternatives →

22. 22
    Text Classification by MonkeyLearn▲151

    Simple and customizable text classification with AI

    2019 · monkeylearn.com · its alternatives →

23. 23
    Deep Talk▲104

    No-Code AI/NLP platform for text data analysis 🧠

    2022 · deep-talk.ai · its alternatives →

24. 24
    NLP-API▲69

    Natural Language Processing tools REST API

    2023 · its alternatives →

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 →