Schema + instance validation
Paste a JSON Schema and a JSON instance. SchemaSafe checks type, required, enum, format, and additionalProperties for you.
For developers
Validate JSON against your schema,
Validate JSON against your schema,
before it ships.
Key Takeaways
- Validate JSON payloads against your schema before they ship to production.
- Catches schema drift early - in development, not in production.
- Start free; upgrade for team workflows.
SchemaSafe validates a JSON instance against your JSON Schema and reports every error with a precise JSON-pointer path — type, required, enum, format, and additionalProperties — so bad data never reaches production.
Free: unlimited browser validations
schemasafe — JavaScript
Your schema
"an object with name (string) and age (integer ≥ 0)"
SchemaSafe returns
{ "type":"object", "required":["name","age"], "properties":{ "name":{"type":"string"}, "age":{"type":"integer","minimum":0} } }
# /age expected integer ≥ 0, got -3
# /name expected string, got 42
# 2 errors — instance is INVALID
Validates data the way your stack actually consumes it
REST APIs
Config files
Webhook bodies
Form payloads
Databases
Core capabilities
JSON, validated — not just parsed
Four things SchemaSafe does so you can stop trusting unvalidated payloads and start proving the shape of your data.
Draft 2020-12 and earlier
Draft 2020-12, 2019-09, and 2017-06 — the same schema validates consistently across your stack.
JSON-pointer error paths
Every error carries its JSON-pointer path (e.g. /user/email), so you know exactly where the data is wrong.
Catch silent data bugs
SchemaSafe lists the inputs that will surprise you — international formats, missing separators, greedy matches — before they reach users.
How it works
From schema to clean data in three steps
1
Paste your schema
Paste your JSON Schema — object, type, required fields, and constraints.
2
Paste your instance
Paste the JSON instance you want to validate against that schema.
3
Forge & explain
Get a pass/fail verdict, every error with its JSON-pointer path, and what the schema expected — ready to fix.
For developers
Data shapes developers validate
Real examples of what you can validate instead of trusting the payload.
API response payload
"A API response payload like (415) 555-2671 or 415-555-2671"
{ "type":"object", "required":["name","age"], "properties":{ "name":{"type":"string"}, "age":{"type":"integer","minimum":0} } }
User profile
"An object with email (string, format email) and role (enum)"
{ "email": "not-an-email", "role": 7 }
Form submission
"An object with title (string) and slug (string, pattern)"
{ "title": "", "slug": 123 }
Config block
"An object with name (string) and age (integer)"
{ "name":"", "age":"twelve" }
Batch row
"An array of items, each with qty (integer ≥ 1)"
{ "items": [ { "qty": "two" } ] }
Nested object
"An object with user.email (string) and age (integer ≥ 0)"
{ "user": { "email":"a@b.com" }, "age": -1 }
Pricing
Start free, upgrade when you validate at scale
Unlimited browser validations on the free plan. Saved schemas, API access, and batch on Pro — $29/mo.
Stop shipping unvalidated JSON
Paste a schema and an instance. Get every error, with its path.