Twitter is testing a new feature that turns voice tweets into text automatically. This tool uses speech recognition to create written versions of audio posts. The goal is to make voice tweets more accessible. People who are deaf or hard of hearing will benefit. Others might prefer reading in quiet places.
(Twitter tests automatic conversion of voice tweets to text)
Currently, a limited group of iOS users can try this feature. Twitter wants feedback to improve accuracy. Users will see the text appear below voice tweets. They can report errors if the transcription is wrong. This helps Twitter fix mistakes.
Voice tweets launched last year. They let users record up to 140 seconds of audio. But without text, some people couldn’t use them. Accessibility advocates pushed for this change. They argued everyone deserves equal access.
Twitter has been adding more accessibility tools. Image descriptions help visually impaired users. Video captions assist those who can’t hear. Automatic voice-to-text continues this effort.
The company hasn’t shared a full rollout date. Testing must show the feature works well. Broader release depends on results. Twitter prioritizes getting it right.
This move addresses a key user need. It also follows industry trends. Many apps now convert speech automatically. Twitter aims to catch up.
Users in the test group should notice the change soon. Their voice tweets will display machine-generated text. Accuracy may vary at first. Updates will refine performance.
Twitter’s accessibility team leads the project. They focus on inclusive design. The feature could reach all users eventually. No timeline exists yet.
The test phase is critical. Real-world usage reveals issues. Engineers will tweak the system. Better technology means fewer errors.
(Twitter tests automatic conversion of voice tweets to text)
Voice tweets remain popular for quick updates. Adding text makes them more versatile. People can choose how to consume content. Twitter believes this improves overall experience.