This repository was archived by the owner on Aug 29, 2025. It is now read-only.
Content Localization on AWS version 2.0.0
This release features support for custom language models and source language auto-detection in Amazon Transcribe.
New:
- Upgrade MIE dependency to v4.0.1
- Add support for using custom language models with Transcribe (#297)
- Document instructions for starting workflows from the command line and from an S3 trigger. (#266)
- Record the state machine ARN for the VideoWorkflow in cloud formation outputs. This makes it easier to find the video workflow in AWS Step Functions. (#268)
- Support the new languages and variants recently added to Transcribe and Translate (#263)
- Add option to see API requests for computer vision results in the front-end (#303)
- Save filenames to Opensearch so assets can be found by searching for their filename (#249)
- Add an option to auto-detect source language (#209)
Fixed:
- Fix missing data in line chart for computer vision results (#303)
- Fix opensearch throttling (#303)
- Remove unused subtitles checkbox from Upload view (#300)
- Avoid showing empty operator configurations in media summary view (#299)
- Fix miscellaneous bugs in the workflow configuration used to save subtitle edits (#286, #289)
- Fix invalid table format that's used when saving custom vocabularies (#260)
- Fix video load error that occurs with large caption data (#239)
- Support filenames with multiple periods (#237)
- Make language selection for Translate behave more intuitively (#228)
- Fix forever spinner that occurs when there is no data (#225)
- Fix the missing red video player position marker (#224)
- Add missing option to download SRT formatted subtitles (#272)
- Fix broken video player for S3 triggered workflows (#271)
- Fix invalid table format that's used when saving custom vocabularies (#260)
- Use the correct source language when saving a new or updated custom vocabulary (#258)
- Fix bug in WebCaptions that occurs when using source language autodetection in Transcribe (#306)
- Removed profanity checker due to insufficient support for non-english languages (#256)