Speech to Subtitles
Integrated speech recognition automatically identifies spoken content in video and generates a subtitle timeline with timecodes, reducing manual transcription work.
场辞
Claim场辞 is AI video subtitle software that auto-transcribes speech into subtitles, with proofreading, style editing, and export burn-in.
Product Overview
场辞 is a video subtitle creation tool based on speech recognition technology. It is mainly used to quickly convert speech in video or audio into subtitles, while also providing proofreading, style adjustments, and burn-in export capabilities. The page information shows that it is aimed at content workflows that require frequent subtitle production, emphasizing the full chain from recognition to finished output.
The official site says 场辞 supports importing common video, audio, and subtitle files, and offers multi-track subtitle editing, a visual timeline, real-time preview, and one-click export. The documentation page also covers shortcuts, track style settings, export formats, and common questions, suggesting that it is more of a dedicated subtitle editing tool than a simple speech-to-text service.
Core Features
Multi-format Import
Supports importing a variety of common audio, video, and subtitle files, making it easy to plug existing assets directly into the subtitle production workflow.
Subtitle Editing and Proofreading
Provides multi-track parallel editing, a visual timeline editor, a subtitle list, and text editing, making it suitable for line-by-line proofreading and timing adjustments.
Real-time Preview and Visual Adjustments
Supports real-time preview of subtitle effects, and allows dragging, scaling, and rotating subtitles during editing so the on-screen result can be checked directly.
Multiple Export and Burn-in Options
Supports exporting SRT, ASS, TXT, and standard MP4, and can also burn subtitles into video with one click while configuring burn-in parameters.
Efficiency-focused Workflow
Provides shortcuts, find and replace, and project creation/saving operations to help maintain efficiency in high-frequency subtitle production.
Typical Use Cases
Generating First-Draft Subtitles for Long Videos
Suitable for individual creators and production teams that need to quickly turn interviews, courses, commentary videos, or other long-form videos into subtitles, starting with automatic recognition and then proofreading and fine-tuning.
Subtitle Delivery in Post-production Editing
Suitable for teams with a post-production workflow that want to export SRT first and then continue compositing subtitles and video in PR or other post-production processes.
Subtitle Production for Educational Courses
Suitable for online education, micro-courses, and recorded class production, quickly generating subtitles after the teacher’s lecture content has been automatically recognized to reduce repeated manual transcription.
Finished Output for Short Videos
Suitable for short videos, vlogs, and program post-production, allowing subtitles to be quickly generated and then burned into the video directly, with burn-in parameters configured as needed.
Subtitle Refinement and Batch Adjustments
Suitable for editing scenarios that require repeated adjustments to subtitle text, style, and timecodes, using multi-track editing, find and replace, and shortcuts to improve proofreading efficiency.
Pros and Cons
Pros
- Supports automatic speech recognition and generates subtitles with timecodes, reducing manual entry.
- Offers multi-track editing, real-time preview, a subtitle list, and text editing for proofreading and fine-tuning.
- Supports importing common audio, video, and subtitle files, making it easy to work with existing assets.
- Can export SRT, ASS, TXT, and standard MP4, which is convenient for further compositing or delivery.
- The help documentation is fairly detailed, including shortcuts, style settings, and burn-in instructions.
Cons
- The Pricing page returns 404, so no pricing or plan information is visible in the public materials.
- Support for formats and workflow details mainly comes from the help documentation, and some third-party integration information is not fully disclosed.
- The documentation notes that if you close the window during recognition, the recognition results may be lost.
FAQ
Which import and export formats are supported?
场辞 supports importing common video, audio, and subtitle files, and can export standard MP4 as well as SRT, ASS, and TXT files.
How do I quickly create subtitle blocks?
The help documentation says you can create subtitle blocks from the toolbar, or use the JK keys during playback to mark the start and end times and the start point of the next subtitle block.
How can subtitle styling be adjusted?
You can set the current track’s font, font size, letter spacing, outline, scale, and alignment on the left side of the timeline, and preview the styling changes in real time.
What should I do if speech recognition fails?
The documentation notes that you should not close the current window during recognition, or the recognition results may be lost. If recognition fails, first check whether the network connection was interrupted; if it is not a network issue, contact customer support.
What is the difference between CRF and ABR when exporting MP4?
When exporting standard MP4, the documentation says the video uses H.264 encoding and the audio uses AAC encoding. CRF is constant quality mode, while ABR is average bitrate mode.
Quick Facts
- Product Type
- AI video subtitle creation software
- Main Features
- Speech to subtitles, one-click subtitle insertion, video subtitling, subtitle proofreading
- Output Formats
- SRT, ASS, TXT, standard MP4
- Import Formats
- MP4, OGG/OGV, WEBM, MP3, WAV, OGG, AAC, AMR, WMA, SRT, ASS, TXT
- Source Domain
- trans.xinpianchang.com
- Pricing
- Not provided on the public page