Calendar-aware
Understands business days, weekends, and holidays for dependable scheduling.
AbsTime API for exact datetimes
Turn natural language time into exact datetimes for AI products.
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Powerful features for time resolution
A fast, reliable way to turn human time phrases into structured datetimes.
Lightning fast
Low-latency parsing suitable for real-time AI product workflows.
Flexible inputs
Handles messy natural language and ambiguous phrases with predictable output.
Easy to integrate
Simple API surface that drops into existing pipelines and storage.
Get started quickly in just 3 simple steps
A quick setup flow to get reliable time parsing into production.
Have question? We’re here to help
Quick answers for common integration and usage questions.
Getting Started
How to begin using the API.
Settings & Configurations
How to tune parsing behavior.
Help & Support
Where to get help and updates.
How do I get started with AbsTime?
Create an API key, call the resolve endpoint, and store the returned datetime in your app.
What are the system requirements?
AbsTime is API-first and works with any stack that can make HTTPS requests.
Is AbsTime free to use?
AbsTime is free during the early access period. We will communicate any future changes clearly.
Can I customize the design?
You can control parsing behavior through request options and locale settings.
How do I change parsing rules?
Use per-request options to set locale, timezone, and business day rules.
Can I supply custom holidays?
Custom holidays and calendars are supported through configuration options.
How do I choose a timezone?
Send the target timezone in the request so outputs are consistent across users.
Do you handle business days?
Yes, AbsTime can skip weekends and holidays to return a valid business date.
Where can I get help?
Use the docs and the Support community for quick answers and updates.
How do I report bugs?
Send us a short report with the input string and the output you expected.
Do you offer premium support?
Premium support is available for teams with production workloads.