Articles · Gemini AI Tools
Pull JSON fields from text without pretending the values were verified
Unstructured notes hide the same fields over and over: a name, a date, an amount, an email. The structured data extractor sends your key list and the source to Gemini with a JSON response mime type. The model is told to use null when a value is absent. Models still fill gaps with plausible junk. Pretty-printed JSON is not a validated schema and not a database import you should trust blindly.
Why this is worth doing in the browser
This is not the Universal Data Converter, which reshapes files you already have in the browser. This page creates structure from prose using cloud AI. Do not paste ledgers or identity documents you would not send to Google. Related tools include the summarizer if you only need a recap, and the code assistant if you are shaping a schema rather than extracting one row.
How to use the tool
List comma-separated keys, paste the source, press Extract. Copy JSON or download a .json file. Re-read each field against the source.
- Name keys the way you want them in the object.
- Leave a field null on purpose when the source is silent.
- Never extract passwords or API keys.
- Split multi-record text if the model merges two people into one object.
Privacy
Source text and the JSON result are processed by Google Gemini. DevNestro does not store extracted records. Logs should include token usage, not field values.
Have a messy note and a short key list? Open the Structured Data Extractor, extract once, and verify every value.