The Usage dashboard in Lokalise Analytics helps you understand how localization resources are used across your projects. You can analyze processed word usage and translation methods, monitor Over-the-Air (OTA) activity, and track translation memory leverage.
This article covers the reports and metrics available in the Usage dashboard. For an overview of Lokalise Analytics, including how to access Analytics and choose a product, see Lokalise Analytics.
Accessing the Usage dashboard
To access the Usage dashboard, open the corresponding tab on the Analytics page.
Processed words
You may want to review the Processed words article to better understand how Lokalise measures usage.
The Processed words tab in the Usage dashboard provides insights into processed word usage and translation methods across your projects. Using the Processed words tab, you can analyze historical usage data, estimate future resource requirements, and better plan localization costs.
Filtering data
You can filter Usage dashboard data by:
Date
Product — Expert, Vantage, or both
Project ID
Project name
Target language
Combine filters to narrow the data to specific projects, products, languages, or time periods.
Translation methods overview
The Processed words overview table displays the number of processed words and translation methods used for each language, based on the selected date range and filters.
Columns:
Language — click a language name to filter results by that language. If multiple projects use the same language name but different language IDs, they are grouped together.
Processed words — shows the total number of processed words for the selected language.
Translation methods — shows how many words were translated using each translation method, including Pro AI and Standard AI/MT.
Base processed words by month
The Base processed words by month chart shows how many words were processed in your projects each month. This includes words added or updated in the base language, as well as target-language words modified through translation activity, imports, automations, or AI/MT actions.
Chart details:
Dark blue — processed words originating from base language changes, such as new content or source text updates.
Light blue — total processed words for the month, including target-language words created or modified through translation activity.
Skipped words — words that were detected during processing but not counted toward processed word usage, for example because they had already been counted through another workflow such as an API import. Skipped words are shown for visibility but are not included in processed word totals.
Word counts are cumulative across all base languages used in your projects.
Processed words by month
The Processed words by month chart shows how processed words are distributed across different translation methods over time. Each bar represents the total number of processed words for a specific month, grouped by translation method.
Translation methods include:
Human translation
Translation memory
Standard AI/MT
Pro AI
API
Import
Other
Hover over a chart segment to see the processed word count and percentage for each translation method for the selected month.
Base processed words by translation method
This chart shows how base processed words are distributed across different translation methods.
Each bar represents the total number of processed words for a specific translation method and is divided into:
Created — newly added base-language content.
Updated — existing base-language content that was modified.
Skipped words — words that were detected during processing but not counted toward processed word usage, for example because they had already been counted through another workflow such as an API import. Skipped words are shown for visibility but are not included in processed word totals.
This helps you understand how base content enters or changes in your localization workflow across imports, API updates, and other sources.
Processed words by project and action
The Processed words by project and action table shows created, updated, and total processed words for each project. Use this table to compare usage across projects and understand where most content is being created or updated.
Columns:
Product — shows which Lokalise product the project belongs to. For example, Expert for standard localization projects or Vantage for document and long-form content workflows.
Vantage is Lokalise’s solution for translating documents and long-form content, including formats and sources such as DOCX, Google Docs, and Strapi. To learn more, see What is Lokalise Vantage?
Project — shows the project name.
Created processed words — shows the number of processed words from newly added content.
Updated processed words — shows the number of processed words from existing content that was modified.
Total processed words — shows the combined total of created and updated processed words.
Processed words by project and method
The Processed words by project and method table shows processed words for each project, grouped by translation method.
Use this table to compare how different projects rely on different translation methods, such as human translation, translation memory, AI/MT, API, imports, offline work, or other sources.
Columns:
Product — shows which Lokalise product the project belongs to (Expert or Vantage).
Project — shows the project name.
Translation memory — processed words translated using translation memory.
Human translation — processed words translated manually by users or vendors.
Standard AI/MT — processed words translated using standard AI or machine translation.
Pro AI — processed words translated using Pro AI.
API — processed words created or updated through the API.
Import — processed words created or updated through file imports.
Offline — processed words translated or updated through offline workflows.
Other — processed words that do not fall into the listed methods.
Translation method breakdown
The Translation method breakdown section shows detailed metrics for each translation method, such as Translation memory, Human translation, Pro AI, and Standard AI/MT.
Each method has its own section with summary metrics and a monthly chart, making it easier to compare how different translation methods contribute to your localization workflow.
Metrics include:
Translations created — the number of new translations created using this method.
Translations updated — the number of translations created by this method that were later meaningfully changed.
Created vs. updated by month — a monthly breakdown showing how many translations were created and how many were later updated.
Use these metrics to compare translation methods and understand how often translations created by each method are later changed.
You can customize this section to view metrics for Processed words or Translations using the dropdown in the right corner:
OTA
The OTA tab in the Usage dashboard provides insights into Over-the-Air (OTA) activity across your projects and bundles.
Using the OTA tab, you can monitor OTA adoption, analyze traffic and download activity, track platform distribution, and identify usage trends across your localization workflows. The available reports help you understand how OTA is being used across projects, bundles, and platforms such as iOS, Android, and Flutter.
Filtering data
You can filter OTA analytics data using the following filters:
Date — select the time range for the displayed analytics data.
Time grouping — group data by day, week, month, quarter, or year, depending on the level of detail you need.
Project ID — filter results by specific Lokalise project IDs.
Project — filter data by project name.
Platform — filter OTA activity by platform, such as iOS, Android, or Flutter.
These filters can be combined to analyze OTA usage trends across specific projects, platforms, and time periods.
Current drivers
The Current drivers section provides a high-level overview of OTA activity for the most recent period within the selected date range.
The period depends on the selected Time grouping filter. For example, if Week is selected, this section shows activity for the most recent week in the selected date range.
It highlights overall traffic and download trends, along with the most active projects and bundles in your OTA workflow.
Metrics include:
Traffic — the total amount of OTA traffic generated during the selected period.
Downloads — the total number of OTA bundle downloads.
Projects with traffic — the number of projects that generated OTA traffic.
Bundles with traffic — the number of OTA bundles that generated traffic during the selected period.
Each metric also shows how the current period compares to the previous one, helping you identify usage growth or declines over time.
The section also includes:
Most active project (current period) — shows the project with the highest OTA traffic, including traffic distribution across supported platforms.
Most active bundle (current period) — shows the bundle with the highest OTA traffic, including its platform and total traffic volume.
Traffic by platform
The Traffic by platform chart shows the distribution of OTA traffic across supported platforms during the selected time period. Traffic is measured in gigabytes (GB) and represents the amount of OTA content delivered to client applications.
Use this chart to understand which platforms generate the most OTA traffic and how OTA usage is distributed across your mobile ecosystem, such as iOS, Android, or Flutter.
Hover over a chart segment to view the exact traffic volume and percentage for each platform.
Downloads by platform
The Downloads by platform chart shows the distribution of OTA bundle downloads across supported platforms during the selected time period.
Use this chart to understand which platforms generate the highest number of OTA downloads and how bundle adoption is distributed across your applications.
Hover over a chart segment to view the exact number and percentage of downloads for each platform.
Traffic over time by platform
The Traffic over time by platform chart shows OTA traffic trends across supported platforms over time. Traffic is measured in gigabytes (GB) and grouped by the selected time interval, such as day, week, or month.
Use this chart to monitor how OTA traffic changes over time for platforms such as iOS, Android, or Flutter. Traffic spikes may reflect application releases, increased user activity, or large OTA bundle rollouts.
Hover over a chart segment to view the exact traffic volume for each platform during a specific time period.
Downloads over time by platform
The Downloads over time by platform chart shows OTA download trends across supported platforms over time.
Downloads are grouped by the selected time interval, such as day, week, or month, making it easier to identify changes in OTA adoption and bundle delivery activity.
Use this chart to monitor how OTA downloads evolve across platforms such as iOS, Android, or Flutter. Changes in download volume may reflect release frequency, adoption growth, seasonal usage patterns, or rollout activity.
Hover over a chart segment to view the exact number of downloads for each platform during a specific time period.
Most active project
The Most active project section highlights the project that generated the highest amount of OTA traffic across the current time period.
The report includes the total OTA traffic for the project, traffic distribution by platform, and the date of the most recent OTA activity.
Use this section to identify which projects generate the most OTA usage and monitor platform-level traffic distribution across your applications.
Most active bundle
The Most active bundle section highlights the OTA bundle that generated the highest amount of traffic during the current time period.
The report includes the bundle name, bundle ID, platform, total OTA traffic, and the date of the most recent activity.
Use this section to identify which OTA bundles are most actively distributed across your applications and platforms.
Projects overview
The Projects overview table provides a detailed view of OTA traffic and activity metrics for each project.
Use this table to compare OTA usage across projects, monitor recent activity, and identify traffic trends over time.
Columns include:
Project — the project name.
Total traffic (GB) — the total amount of OTA traffic generated by the project.
Last active on — the date of the most recent OTA activity for the project.
Previous period traffic (GB) — OTA traffic generated during the previous comparable time period.
Change from previous period (GB) — the traffic increase or decrease compared to the previous period.
% change from previous period — the percentage change in traffic compared to the previous period.
Android traffic (GB) — OTA traffic generated by Android applications.
iOS traffic (GB) — OTA traffic generated by iOS applications.
Flutter traffic (GB) — OTA traffic generated by Flutter applications.
Use the table to identify the most active projects, compare platform distribution, and monitor changes in OTA usage over time.
Bundles overview
The Bundles overview table provides detailed OTA traffic and activity metrics for individual bundles.
Use this table to analyze bundle-level OTA usage, compare traffic across releases, and monitor activity trends over time.
Columns include:
Bundle name — the bundle name and release identifier. Click on the name to download the bundle.
Bundle ID — the unique OTA bundle ID.
Project — the project associated with the bundle.
Platform — the platform the bundle belongs to, such as iOS, Android, or Flutter.
Bundle size (MB) — the size of the OTA bundle in megabytes.
Total traffic (GB) — the total OTA traffic generated by the bundle.
Last active on — the date of the most recent OTA activity for the bundle.
Previous period traffic (GB) — OTA traffic generated during the previous comparable time period.
Change from previous period (GB) — the traffic increase or decrease compared to the previous period.
% change from previous period — the percentage change in traffic compared to the previous period.
Use this table to identify the most actively distributed bundles, compare release adoption, and monitor OTA traffic patterns across platforms and projects.
TM leverage
The TM leverage tab in the Usage dashboard shows how much translated content was actually produced using translation memory during the selected period.
The available reports help you understand how translation memory is used across your projects and language pairs, measure TM adoption over time, and identify opportunities to improve translation reuse. Unlike Processed Words, TM leverage includes all translations created from TM matches, regardless of whether they are billable.
Filtering data
You can filter TM leverage data using the following filters:
Date — select the time range for the displayed analytics data.
Time grouping — group data by day, week, month, quarter, or year, depending on the level of detail you need.
Project ID — filter results by specific Lokalise project IDs.
Project — filter data by project name.
Target language — filter data by target language.
Base language — filter data by base language.
These filters can be combined to analyze TM usage across specific projects, language pairs, and time periods.
TM leverage overview
The summary cards at the top of the dashboard show the following metrics for the selected period:
TM-leveraged words — the total number of target words translated using a translation memory match, regardless of the match percentage.
TM translations — the total number of translations created using a translation memory match.
TM share of all words — the percentage of all translated target words that were produced using translation memory. It is calculated by dividing TM-leveraged words by the total number of translated words.
TM leverage over time
The TM leverage over time chart shows how translation memory usage changes over the selected period.
You can switch between viewing the total number of TM-leveraged words and TM translations to identify trends and compare usage over time.
Words leveraged by TM match
The Words leveraged by TM match chart breaks down translated target words by the translation memory match percentage that was applied.
Use this report to understand how much of your translation memory usage comes from exact matches (100%) versus fuzzy matches (50%, 75%, 85%, and 95%).
Top 10 language pairs by TM leverage
The Top 10 language pairs by TM leverage chart shows the 10 language pairs with the highest translation memory usage.
You can switch between TM-leveraged words and Translations to compare the number of translated target words and translations that used translation memory matches.
TM leverage by project
The TM leverage by project table provides a project-level breakdown of target words and translations that used translation memory matches. Use it to compare translation memory usage across projects and identify which projects benefit most from translation memory.
The table includes the following columns:
Project — the project name.
Words — the total number of translated target words.
TM-leveraged words — the number of target words translated using translation memory matches.
TM-leveraged words share — the percentage of translated target words that used translation memory matches.
Translations — the total number of translations.
TM-leveraged translations — the number of translations that used translation memory matches.
TM-leveraged translations share — the percentage of translations that used translation memory matches.
Most leveraged language pair — the language pair with the highest translation memory usage in the project.