最近，Pireel、OpenChatCut、ChatCut 这三款 AI 剪辑工具都很受关注。
它们都在解决同一个问题：
上传一段口播视频，让 AI 自动完成转写、删减、字幕、包装，最后生成一条可以发布的视频。
听起来流程类似，但真正使用后，差距并不在“能不能生成第一版”，而在后面的细节：
字幕准不准、时间线能不能继续修改、撤销是否可靠、导出的文件是不是当前工程，这些才决定它能不能进入真实工作流。
我用同一段口播素材，对三款工具进行了四轮测试。
先给结论。
最终排名
| 工具 | 总分 | 核心优势 |
|---|---|---|
| ChatCut | 90/100 | 全流程最完整，最接近商业交付工具 |
| Pireel | 83/100 | 内容理解和口播压缩能力最强 |
| OpenChatCut | 77/100 | 开源扩展能力最强 |
如果你的目标是：
- 快速完成一条可以交付的视频：选 ChatCut
- 快速提炼口播内容、做知识类视频：选 Pireel
- 搭建自己的 AI 视频工作流：关注 OpenChatCut
测试方法
测试素材为同一段约 5 分钟口播视频：
- 分辨率：960×544
- 帧率：24fps
- 双声道音频
三款工具使用同一素材、同一组任务要求。
测试分为四轮：
第一轮：转写与口播清理
测试：
- 自动生成文字稿
- 删除口癖、重复和无意义停顿
- 保持原意
第二轮：字幕与画面调整
测试：
- 中文字幕生成
- 安全区调整
- 局部放大
- 时间线可编辑性
第三轮：修改、撤销与导出
测试：
- 修改字幕位置和字号
- 缩短局部放大
- 单独撤销一项修改
- 导出 MP4 和 SRT
第四轮：自主生成最终成片
测试：
- 从已有工程继续制作
- 输出 3～4 分钟知识口播视频
- 添加字幕、章节、重点包装
另外，我检查了：
- 文字稿
- 字幕轨
- 时间线结构
- 导出规格
- 工程文件一致性
第一轮：转写与口播清理
这一轮主要看 AI 是否真正理解视频内容。
素材本身比较干净，因此重点观察：
- 转写准确度
- 工程连接是否完整
- 是否会误删内容
ChatCut：23 分
ChatCut 的原生转录流程最完整。
文字稿可以直接进入后续剪辑流程，最终时间线和成片保持一致。
Shortcomings:
- 个别专业术语仍有错误，例如 fde
- 导出规格出现变化，从原始 960×544、24fps 变成 1920×1080、30fps
Pireel：使用本地转写兜底
Pireel 对内容理解较强，但本轮原生转写没有完全跑通。
通过本地文字稿完成测试后：
- 没有误删内容
- 可以把外部文字稿重新注册进工程
OpenChatCut: Use local transcriptions to cover the bottom
OpenChatCut also relies on local transcriptions.
Advantages:
- Provides word-level timestamp JSON
- The project is highly open
Question:
- Native ASR capabilities cannot be fully verified temporarily
Need to explain:
Pireel and OpenChatCut use local transcriptions in this round, so they cannot be directly equated to the product's own ASR capabilities.
Round 2: Subtitles and Picture Composition
This round of gaps is beginning to become apparent.
ChatCut：23 分
Advantages:
- Subtitles and sentences are closest to daily video effects
- Zoom animation naturally
- Subsequent editing space is complete
Shortcomings:
- The subtitle size is too large
- Close to the person's mouth
Pireel: 23 points
Advantages:
- The subtitle style is the most restrained
- The main body of the picture remains clear
- Reasonable zoom control
Shortcomings:
- Subtitle accuracy affected by the first round of transcriptions
OpenChatCut: 22 points
Advantages:
- Subtitle position safe
- Zoom keyframes are truly editable structures
Shortcomings:
- The subtitles were broken into 245 short pages
- Switching frequency is too high
- There are still problems with identifying professional terms
Round 3: Modification, Undo and Export
After you really enter the workflow, the focus is not on generation, but on modification.
ChatCut: 22 points
Completed:
- Subtitles move up
- Enlarge the first subtitle
- local amplification recovery
It does not provide a common Undo interface, so recovery is ultimately achieved through precise reverse modification.
The result is correct, but the mechanism is not native revocation.
Pireel: 21 points
Advantages:
- Native Undo is the clearest
- Single revocation works best
Shortcomings:
- The modification of the specified subtitle size has not been completed
- SRT export is not supported
OpenChatCut: 23 points
Advantages:
- 字幕修改完成
- 缩放恢复准确
- 导出保持原始规格最好
Shortcomings:
- 为单独修改字幕增加额外轨道
- 工程结构较复杂
- SRT 生成 245 条字幕，人工整理成本较高
第四轮：谁能做出真正发布版？
这一轮直接把任务交给 AI。
目标：
从已有项目出发，制作一条 3～4 分钟知识口播视频。
ChatCut: 22 points
综合表现最好。
它加入：
- B-roll
- 章节动画
- 提示条
- 背景音乐
- 动态字幕
最终：
- MP4 与工程对应
- 素材仍可继续编辑
- 整体完成度最高
Shortcomings:
- 包装主要集中在前半段
- 后半部分仍偏传统口播
- 内容压缩能力不如 Pireel
Pireel：19 分
Pireel 最大优势是内容整理。
它把 304 秒素材压缩到约 251 秒。
表现：
- 重点提炼准确
- 信息卡结构清晰
- 商业知识口播风格统一
Shortcomings:
- 缺少 B-roll
- 没有音乐和音效
- 观赏性主要依赖信息卡
另外存在交付问题：
最终成片保存到了旧项目中，第 4 轮项目仍保留原片。
OpenChatCut：12 分
OpenChatCut 的优势仍然是开放性。
但这一轮交付表现不足：
Completed:
- 开场标题卡
- 逐词字幕
Shortcomings:
- 基本没有 B-roll
- 没有音乐
- No key animation
- No obvious visual packaging
More importantly:
The MP4 and SRT in the final directory are consistent with the ChatCut files and cannot be proved to be independently generated results.
Therefore, it cannot be regarded as effective delivery.
Who are the three tools suitable for?
ChatCut: For those who need delivery
The greatest value of ChatCut is not the "first generation", but the complete workflow.
It supports:
- multi-track editing
- XML
- Motion Graphics
- Continuous modification
If video is needed:
- Review to customers
- teamwork
- Multiple rework
ChatCut is more reliable.
Disadvantages:
- closed source
- Agent operations consume Credits
- Cloud processing needs to consider material privacy
Pireel: For people who make content quickly
Pireel is more like a content understanding tool.
It excels at:
- Find the key points
- compressed expression
- Generating information cards
Suitable for:
- Knowledge dissemination
- product introduction
- POV videos
But it is not complete post-stage software.
Complex timelines, multi-track engineering, and professional exchange capabilities are not advantages.
OpenChatCut: Suitable for developers and experimental users
OpenChatCut is the most open product of the three.
Advantages:
- open source
- BYOK
- MCP
- plug-in extension
- local workflow
Suitable for:
- Build your own AI video system
- Research Video Agents
- Deep customization process
But currently:
- High configuration costs
- Need to address model and service issues
- Stable delivery capabilities are still insufficient
final conclusion
The biggest finding of this test is:
What AI editing really opens up the gap is not the generation of the first version of the video, but the second half of the process.
What really affects efficiency is:
- Can the subtitles be modified separately?
- Is revocation reliable?
- Whether the timeline continues to be editable
- Are MP4, SRT and Engineering consistent
ChatCut wins in its complete delivery capabilities.
Pireel wins in content understanding and compression efficiency.
OpenChatCut wins on openness and future potential.
If you just look at the first generation, all three tools will be amazing.
But after really entering the production process, there were still a few issues that ultimately decided to experience:
Whether it can be changed, whether it can be exported, whether the file is correct, and whether it can continue to be done next time.