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DeepL offers several ways to retrieve usage data so you can track character and minute consumption and the associated costs. This guide compares the available data sources and shows how to use each one.
Consumption data in the account UI, in CSV exports, and in the Admin API analytics endpoints is available up to and including the previous UTC calendar day. For near-real-time data, use the /usage endpoint.

Choose a data source

Data sourceScopeTime rangeData freshnessInterface
API Keys & Limits tabPer API keyCurrent usage period onlyPrevious UTC dayAccount UI
API Usage tabAccount total (plus year-to-date on yearly plans)Current usage period (and yearly period)Previous UTC dayAccount UI
Key-level CSV exportPer API keyCustom or preset ranges up to 4 months, optional grouping by dayPrevious UTC dayCSV download
/usage endpointAccount totalCurrent usage period onlyNear-real-time (within minutes)REST API
Admin API analyticsPer API key or per custom tagCustom date range, optional grouping by dayPrevious UTC dayREST API
Use the account UI for a quick check while signed in, the CSV export for detailed or offline analysis per key, the /usage endpoint for programmatic near-real-time quota checks, and the Admin API analytics endpoints for programmatic reporting and cost attribution via custom tags.

API Keys and Limits tab

To check per-key consumption for the current monthly usage period, open the API Keys & Limits tab. It shows character and speech-to-text (STT) minute consumption for each API key.

API Usage tab

To check your account totals, open the API Usage tab. It shows total character and STT minute usage for the current monthly usage period, and if you’re on a yearly plan, usage to date for your yearly billing period, too.

API key-level CSV export

Generate a CSV report with key-level characters translated for a chosen time period. Key-level usage is not broken out on invoices; it’s only available via CSV export or on the “API Keys & Limits” tab. To download a report, click “Download key-level usage report” on the API Keys & Limits tab or “Download report” on the API Usage tab, then select a time period and click “Download your report”.
Select a custom date range of up to 4 months (on UTC calendar days) or one of the presets, which cover rolling windows from the last 24 hours up to the last year as well as calendar months and usage periods. Rolling presets include the current day; calendar-month and usage-period ranges align to UTC day or period boundaries, so they might not start and end on a full calendar day. For all time ranges except “Last 24 hours”, “Current usage period”, and “Last usage period”, you can also group key-level usage data by UTC calendar day:
Document translation data is only included in reports with a time period starting on or after May 16, 2024 00:00 UTC. Text translation data is included for all time periods.

The usage endpoint

The /usage endpoint returns a near-real-time snapshot of character and minute usage in the current monthly usage period, typically up to date within a few minutes of the usage being generated. Use it for programmatic quota checks, for example before submitting a large translation batch.

Admin API analytics

The Admin API provides programmatic access to usage data over a custom date range, with optional grouping by day. It requires Admin API access and an admin key for authentication. Two endpoints are available:
  • Get usage analytics returns usage statistics across all services (text translation, document translation, text improvement, and speech-to-text), in total or grouped by API key
  • Get custom tag usage analytics returns usage broken down by custom tag
Custom tags are an optional dimension for cost attribution: attach a tag to individual API requests with the X-DeepL-Reporting-Tag header to track consumption by team, project, or any other category. Only tagged requests appear in custom-tag analytics, so results reflect a subset of total usage unless every request is tagged. See How to use custom reporting tags for setup and naming guidance. For a worked example of pulling analytics data into a dashboard, see the usage analytics dashboard cookbook.