AI · alternatives · 2026
24 alternatives to Autoblocks Annotate
Data annotation platform for LLM products
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Autoblocks Annotate launched in 2024; newer entries below may have overtaken it.
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All-in-one data annotation platform for machine learning
2019 · its alternatives →
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AnnotateAI▲83Human-guided AI data annotation, fast & scalable
Feb 2026 · annotateai.xyz · its alternatives →
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Blocks▲448Hi HN, We just launched Blocks - an AI platform where anyone can build custom work apps and AI agents in minutes, no coding required. We’re seeing a shift in how software is built and used. With AI, software isn’t just about tracking processes anymore - it can actively help people get work done. The problem is that most teams still face 2 options: either buy off-the-shelf tools that never quite fit, or invest a lot of time and money into custom development. Neither works well. Blocks is the third option. It’s an AI-native platform where teams can create apps and AI agents for their workflows…
2025 · blocks.diy · its alternatives →
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Open source data labelling platform for AI model tuning
2023 · labelstud.io · its alternatives →
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Manage your computer vision data labeling
2024 · labelyourdata.com · its alternatives →
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ML Annotator▲79Annotate machine learning data sets and output to models
2022 · apps.apple.com · its alternatives →
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The easy way to turn text into structure data
2021 · getmarkup.com · its alternatives →
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Llama 4▲422A new era of natively multimodal AI innovation
2025 · developer.meta.com · its alternatives →
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Artifacts by Databoxfree tier, from $64/mo▲409Ask your AI Analyst and get back a ready-to-share report
Jul 2026 · databox.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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Manage prompts collaboratively, without breaking your code
2024 · docs.autoblocks.ai · its alternatives →
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Annotate▲193Menubar app to draw on any app or screen on macOS
2024 · getannotate.com · its alternatives →
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Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
2023 · github.com · its alternatives →
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Deep Talk▲104No-Code AI/NLP platform for text data analysis 🧠
2022 · deep-talk.ai · 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 →