Life & fun · alternatives · 2026
24 alternatives to ML data annotations and tagging made easy
Dataturks is a platform for annotating and tagging data for machine learning projects. It enables users to label images, text, and other data types to prepare datasets for training AI models. The service is designed… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. ML data annotations and tagging made easy launched in 2018; newer entries below may have overtaken it.
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2018 · dataturks.com · its alternatives →
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Intuitive Annotation Tool for Information Extraction / Named Entity Recognition using localturk / Amazon Mechanical Turk - Varal7/ieturk
2018 · github.com · its alternatives →
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Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
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All-in-one data annotation platform for machine learning
2019 · its alternatives →
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The easy way to turn text into structure data
2021 · getmarkup.com · its alternatives →
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DeepTagger▲386Hi 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 →
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Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
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- 13AL
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 →
- 14SC
2016 · ioloop.io · its alternatives →
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MonkeyLearn 3.0▲363Get actionable data from text with machine learning
2018 · medallia.com · its alternatives →
- 16DA
Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…
2020 · its alternatives →
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Annot8▲140The fastest way to tag images for object detection datasets
2025 · apps.apple.com · its alternatives →
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Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com · its alternatives →
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Datasaur▲90Manage your entire data labeling workflow with a single tool
2020 · datasaur.ai · its alternatives →
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Lightly▲148Improve your machine learning models by using the right data
2021 · lightly.ai · its alternatives →
- 22PA
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 →
- 23CO
2017 · datapie.in · its alternatives →
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AnnotateAI▲83Human-guided AI data annotation, fast & scalable
Feb 2026 · annotateai.xyz · 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 →