Turn any YouTube video into something you can use
Joined April 2026
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PandaRecord retweeted
full transcript can be found at
pandarecord.com/t/x_21050511…
PandaRecord retweeted
The full transcript can be found at
pandarecord.com/t/S7CrlFLAmE…
Crowdsourced transcript correction is a good idea that collapses into spam almost everywhere it's been tried — including YouTube's own version, which got shut down in 2020. Here's how PandaRecord's community version avoids that failure mode.
pandarecord.com/blog/why-nob…
X videos have no captions button and the post can disappear. Here's how to pull a clean, timestamped transcript from any X video post, what accuracy to expect, and how to edit it against the video.
pandarecord.com/blog/how-to-…
yes, we are using it in our system, overall it's great and can run locally as well, but for languages like chinese, they are not working that well, need another round of AI correction.
3/13 — Transcription 🎙️
Whisper
Open-source speech recognition that can run locally.
Perfect for:
→ Podcasts
→ Interviews
→ Meetings
→ YouTube videos
→ Voice notes
🔗 github.com/openai/whisper
Turn hours of audio into searchable text.
PandaRecord retweeted
Turn your selfie into ASCII art with ASCII Portrait.
Upload, paste, or drop an image. Choose Contour, Portrait, or Tonal mode, refine the details, then export as TXT or PNG. Everything runs locally in your browser.
pixelstech.net/application/a…
#ASCIIArt #CreativeCoding
PandaRecord retweeted
Chrome extensions can't be tested with normal browser
automation. The popup is browser chrome. The MV3 service worker has no tab. Chrome 137+ refuses --load-extension outright.
So most of us test by hand, forever.
I built pikabo to fix that.
PandaRecord retweeted
Now we support editing the generated PDF to remove unwanted content(impacting overall layout) and other styles to align with your own needs. You can go to setting to enable this. Now only Chrome and Firefox supported. Edge will come soon. Give a try. #pagesaver
A practical guide to installing yt-dlp on macOS, setting up its ffmpeg dependency, and diagnosing the errors that come up most often when something stops working.
Read:
pandarecord.com/blog/getting…
What to do when a #YouTube video has no captions — how audio-based transcription works, when it produces accurate output, and how to get usable text from any video.
We support changing your language now and will start to roll out more languages. For now we support English and Chinese Simplified. You can change the language at Settings page.
Looks cool. Our product is using whisper.cpp and works also okay.
🚨 BREAKING: Someone just made OpenAI's Whisper transcribe 2.5 hours of audio in 98 seconds. 100% OPEN SOURCE.
It runs entirely on your GPU. No API keys. No cloud. No subscription.
It's called Insanely Fast Whisper.
You drop in an audio file. One command. You come back and there's a clean, timestamped transcript waiting. Not a rough draft. Not a partial output. The entire thing. Done.
Not a wrapper.
Not a web app.
A CLI that turns your local machine into a transcription engine that makes paid services look embarrassing.
Here's what it does on its own:
→ Transcribes 150 minutes of audio in under 98 seconds using Flash Attention 2, same model, 19x faster, zero quality loss
→ Auto-detects language across dozens of languages, or translates directly into English with a single flag
→ Speaker diarization built in, knows who said what, not just what was said
→ Word-level and chunk-level timestamps so you can jump to any exact moment in any recording
→ Runs on NVIDIA GPUs and Apple Silicon Macs with zero code changes between them
→ Works on Google Colab free tier if you don't own a GPU at all
Here's how fast it actually is:
Standard Whisper large-v3 out of the box: 31 minutes to process 2.5 hours of audio. The same exact model with Flash Attention 2 and batching: 1 minute 38 seconds. Same weights. Same accuracy. One flag difference.
Here's the wildest part:
This never started as a product. It was a benchmark demo to show what Hugging Face Transformers could do. Then the community started using it for real work. Podcast transcription. Legal recordings. Research interviews. Meeting notes at scale. The team kept adding what people actually needed until a benchmark became a full CLI that nobody planned to build.
8.8K GitHub stars. 100% Open Source.
Have you wondered to see transcript for a YouTube video which originally does not have due to very old upload time or other reasons? No worries, #PandaRecord can help create the transcript for you. You can also edit the created transcript and save and download for other use.
