Speech-to-Subtitle
Automatically recognizes speech in video or audio using speech recognition technology and generates subtitle timelines with timecodes, reducing manual transcription and segmentation work.
场辞是一款基于语音识别的视频字幕制作软件,可将视频或音频中的语音自动转成字幕,并支持校对、导出与带字幕视频压制。它适合需要快速处理课程、短视频、节目后期等字幕任务的创作者和制作团队。
场辞 is a speech-recognition-based video subtitle creation tool, mainly used to automatically convert speech in video or audio into subtitles, and to complete the full subtitle production workflow with timeline editing, quick proofreading, and export/burn-in. The official site positions it as a subtitle tool for a variety of video content scenarios, emphasizing the combination of automatic recognition and efficient editing.
The public pages state that 场辞 supports importing many common audio/video and subtitle file types, provides a multi-track timeline, real-time preview, subtitle style adjustments, find and replace, and more, and can export SRT, ASS, TXT, or standard MP4. The documentation also includes shortcuts, timecode adjustment, and black-bar handling help, indicating that it is designed for creators and post-production workflows that frequently make and revise subtitles.
Automatically recognizes speech in video or audio using speech recognition technology and generates subtitle timelines with timecodes, reducing manual transcription and segmentation work.
Supports importing MP4, OGG/OGV, WEBM, MP3, WAV, OGG, AAC, AMR, WMA, and SRT, ASS, TXT files, making it easy to work with existing footage and subtitle drafts.
Provides a visual timeline, multi-track creation, real-time preview, and drag-to-scale-and-rotate subtitle editing, suitable for fine-tuning subtitle style and position.
Offers quick proofreading tools such as subtitle lists, text editing, find and replace, merge, split, and line breaks to help correct recognition results quickly.
Supports exporting SRT, ASS, TXT, and standard MP4, as well as one-click burning of subtitled videos and burn-in parameter settings, making it easy to connect editing and publishing workflows.
Suitable for creators who need to quickly turn long videos or course recordings into subtitles, first using automatic recognition and then making a few corrections on the timeline to reduce the time spent transcribing line by line.
Suitable for short videos, vlogs, and program post-production, where you can preview subtitle effects on the timeline, adjust styles, and export SRT before continuing compositing in editing software.
Suitable for online education or course teams handling subtitles for recorded lessons, using automatic recognition, shortcuts, and find-and-replace tools to batch-correct terminology and text.
Suitable for projects that already have subtitle drafts or subtitle files, allowing direct import of SRT, ASS, or TXT for adjustment, styling, and re-export.
Suitable for workflows that need to output final videos with subtitles, allowing you to burn the finished subtitles directly into a standard MP4 and set burn-in parameters as needed.
场辞 supports importing video, audio, and subtitle files as source material, then generating subtitles and exporting them in common formats. The help documentation lists the import formats as MP4, OGG/OGV, WEBM, MP3, WAV, OGG, AAC, AMR, WMA, SRT, ASS, and TXT; export supports standard MP4, SRT, ASS, and TXT.
You can create subtitle blocks on the timeline, use keyboard shortcuts to create them by tapping, or edit timecodes and text in the subtitle list. The documentation also provides quick actions such as merge, split, line break, and find and replace, which suit subtitle workflows that need frequent proofreading.
场辞 provides one-click subtitle file export and one-click burning of subtitled videos, with support for burn-in parameter settings. The documentation also says that when exporting standard MP4, it uses H.264 video encoding and AAC audio encoding.
The agreement states that the 场辞 client can be used on a computer, with specific devices and versions subject to the platform's provisions; the service is also limited to use within mainland China.
The agreement mentions that using advanced features may require payment of software usage fees, but the public pages do not provide specific pricing, plans, or trial information.
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