Tonic
The best things in life are Free, including this CSV tool
Tonic launched on April 5, 2019 with 57 votes, #820 of 3,128 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 7 years on.
What it does
Tonic generates realistic synthetic data that looks, feels, and acts like your production data, without any of the scripting, maintenance, or privacy risks. Let your business actually use its data, while doing right by your customers.
Keep CSV, JSON, and XML files safe while generating realistic test data for development and pipelines. See why it matters.
Does a similar job
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Improving Synthetic Data Distributions with Conditional Sampling2022 · tonic.ai · ▲17Read expert insights on synthetic data, data privacy, and modern software testing. Explore articles from Tonic.ai’s AI engineering team.



- SUSpin up populated test databases in seconds2024 · docs.tonic.ai · ▲70
We are building Tonic Ephemeral - a purpose built test database that is easy and fast to spin up (or down) based on your dev and test requirements. As engineers who worked on data at Palantir and Tableau, we've seen developers struggle to get isolated test databases when needed. We faced the same problem while we were building our core product at Tonic. Based on this, we decided to build something for ourselves and then realized some of our customers loved it too. Today, we are sharing Tonic Ephemeral with the world. Briefly, Tonic Ephemeral manages test data infrastructure. In my…
Get your unstructured data AI-ready in minutes2024 · tonic.ai · ▲38Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
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