The timing is what makes the transcript useful later.
Launching first on macOS · Windows to follow
PipScribe
Bring every word back to the moment it was spoken.
A local AI transcription and subtitle workspace that turns long audio and video into searchable, editable, export-ready timed text.
Everywordstaysconnectedtothemomentitwasspoken.
That makes review much faster than scrubbing through the whole recording.
Turn speech into working material
Not just text.Keep working.
From interviews to video footage, PipScribe keeps audio, text, and time connected so every later edit has a source.
Separate speakers and replay the original audio by segment.
Adjust timing, control subtitle length, and export.
Search long recordings and extract summaries and key ideas.
Batch transcribe, translate, and continue working with the content.
Bring almost anything
Start with a fileor a video URL.
Import local audio or video, or paste a supported video URL. PipScribe prepares the media and adds the transcription to your local queue.
Supports common formats readable by FFmpeg
Transcribe locally after retrieving the media
Precise timing
Hear the sentence.See the exact word.
Qwen3-ASR word-level timestamps keep playback, review, and subtitle editing on the same timeline.
Reviewtheexactwordwithoutlosingyourplace.
After transcription
Know who spoke,shape the final subtitle.
Speaker labels, translations, and subtitle versions share one timeline. Continue the work in one place without moving content between tools.
First, verify the word-level timeline. Then refine the subtitle boundaries.
That way, every edit can be checked against the original audio.
Every edit stays connected to the original moment.
每一次修改,都与原始语音中的准确时刻相连。
The transcript becomes a subtitle without losing its timing.
Local models and our inference engine
Choose the model.Use the right hardware.
Match Parakeet, Qwen3, or Whisper to the task, then let PipScribe's own engine select the right local compute backend for your device.
Built for speed
Move through long recordings quickly. On an M3 MacBook, a 119-second test recording completed in as little as 3.3 seconds.Handles model loading, audio processing, and inference scheduling, with CPU fallback when no compatible GPU is available.
Accelerated on the Mac GPU.
A dedicated NVIDIA backend.
Accelerated on supported GPUs.
The current macOS release uses Metal. CUDA and Vulkan support will arrive with the Windows release; availability depends on the GPU and driver environment.
Understand, organize, and ask more
Keep workingwith the transcript.
Summarize, extract key ideas, identify open questions, or chat with the current transcript. Edit the built-in prompts or create your own.
Turn this interview into an actionable summary.
Every conclusion can return to the original audio.
Use word-level timing to locate the exact moment first, then review long pauses and subtitle boundaries. Summaries, corrections, and later edits all keep the same audio reference.
00:12:06 · Maya Reed: “First, verify the word-level timeline. Then refine the subtitle boundaries.”
A clear privacy boundary
Your original media stays on your computer.
Local by default. Online services connect only when you choose them.
Simple pricing
Buy once.Use every file.
Try every feature on your own files before deciding to buy.
- 7-day full-feature trial
- Three families of local transcription models
- Batch processing and word-level timestamps
- Subtitles, translation, summaries, and AI chat
Online AI services use your own account or API key, and provider charges may apply. Local Ollama and LM Studio do not require a cloud API.
Frequently asked questions
Which audio and video formats are supported?
PipScribe supports common formats readable by FFmpeg, including MP3, WAV, M4A, MP4, MOV, MKV, and WebM. Available codecs may vary by platform.
Can I transcribe a video URL directly?
You can paste supported video URLs into the queue. Availability may change with the source website's rules; local file imports are unaffected.
Can I transcribe without an internet connection?
After downloading a model, local file transcription does not require uploading your media to the cloud.
Can AI summaries and translation run entirely locally?
Yes. Use Ollama or LM Studio installed on your computer, or choose an online service when needed.
When will the Windows version be available?
The Windows version is in development and will have its own download when it launches.