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AI · alternatives · 2026

24 alternatives to Syntheticus.ai

Share data, without sharing data!

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Syntheticus.ai launched in 2021; newer entries below may have overtaken it.

  1. 1

    Accelerate your vision AI model creation!

    2022 · its alternatives →

  2. 2

    Use virtual faces to secure your identity for free

    2020 · its alternatives →

  3. 3
    FakeData▲365

    Get your fake data in seconds

    2025 · fakedata-mu.vercel.app · its alternatives →

  4. 4

    25k diverse & customizable free stock photos generated by AI

    2019 · its alternatives →

  5. 5

    Reduce bias in AI systems with synthetic face datasets

    2020 · its alternatives →

  6. 6

    Allows users to bring their data from any website to yours

    2024 · its alternatives →

  7. 7

    The AI agent for synthetic data generation

    Nov 2025 · tonic.ai · its alternatives →

  8. 8

    A smarter ChatGPT to help you get more done

    2023 · its alternatives →

  9. 9

    Your AI privacy protection

    2024 · its alternatives →

  10. 10

    Generate worry-free, diverse models on-demand using AI

    2019 · its alternatives →

  11. 11
    Real Fake▲192

    Guess which startups are real vs. AI generated

    2024 · realfakegame.com · its alternatives →

  12. 12
    Gretel▲69

    Synthesize, transform and share large datasets easily.

    2020 · its alternatives →

  13. 13
    DataFairy▲113

    Generate real looking fake data for your tests and demos

    2018 · its alternatives →

  14. 14

    Smarter synthetic data for smart software testing and AI.

    2022 · its alternatives →

  15. 15NO

    Hey HN, we're Evis and Nick and we're excited to be launching Neosync (https://www.github.com/nucleuscloud/neosync). Neosync is an open source platform that helps developers anonymize production data, generate synthetic data and sync it across their environments for better testing, debugging and developer experience. Most developers and teams have some version of a database seed script that creates some mock data for their local and stage databases. The problem is that production data is messy and it’s very difficult to replicate that with mock data. This causes two big…

    2024 · github.com · its alternatives →

  16. 16

    Generate unlimited synthetic data in minutes

    2021 · its alternatives →

  17. 17
    Visuals▲109

    Upload your data and let AI generate charts in seconds

    Sep 2025 · its alternatives →

  18. 18

    AI analysis for people with too much data & not enough time

    2023 · its alternatives →

  19. 19

    Create data on-the-fly using AI knowledge

    2023 · its alternatives →

  20. 20

    Create copy that actually sells

    2022 · its alternatives →

  21. 21

    Create 'real' fake user profiles for test and demo purposes

    2021 · its alternatives →

  22. 22OS

    Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…

    Sep 2025 · metabase.com · its alternatives →

  23. 23
    Irys▲87

    Upload data permanently and precisely attribute its origin

    2023 · its alternatives →

  24. 24AG

    Hey HN, We just shipped a new AI-powered feature... BUT the "AI" piece is largely in the background. Instead of relying on a chatbot, we've integrated AI (with strict input & output guardrails) into a workflow to handle two specific tasks that would be difficult for traditional programming: 1. Identifying the most relevant base URL from HAR files, since it would be tedious to cover every edge case or scenario to omit analytics, tracking, and other network noise. 2. Generating synthetic data for API requests by passing the API context and faker-js functions to GPT-4. The steps are broken down…

    2024 · docs.multiple.dev · 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 →