Stop waiting half your day for an export. While cloud competitors take 15-30 minutes to render, the EchoSubs hybrid acceleration engine processes a full 1-hour video in just 3-5 minutes. That is 5x faster than the industry standard.
A standard 1-hour podcast takes online competitors anywhere from 15 to 30 minutes just to transcribe. EchoSubs finishes the same file in 3 to 5 minutes.
If you are transcribing a 10-episode digital course, old AI takes over 3 hours. Our hybrid engine completes the entire batch queue in roughly 30 minutes.
Human transcribers and video editors cost upwards of $50/hour and take half a day. Automation reduces your time cost per video to practically negligible levels.
How we stack up against traditional cloud rendering algorithms based on raw video length.
| Video Length | Traditional AI | EchoSubs | Time Saved |
|---|---|---|---|
| 10 Minutes | ~ 3 mins | 30 seconds | 83% Faster |
| 30 Minutes | ~ 10 mins | 2 minutes | 80% Faster |
| 1 Hour | ~ 30 mins | 5 minutes | 83% Faster |
| 2 Hours | ~ 60 mins | 10 minutes | 83% Faster |
How is it mathematically possible to transcribe 1 hour of audio in 5 minutes? We abandoned the standard cloud API bottleneck and built a proprietary rendering pipeline.
Most web transcripters crash at 60 mins. Our engine stabilizes memory to comfortably handle massive 4-hour single-file raw imports.
If your laptop dies or you lose connection during a massive render, EchoSubs saves checkpoint data so you never have to start from zero.
Drop an entire season's worth of videos into the folder. The software will cue them up and process them sequentially while you sleep.
When encoders run fast, they usually skip acoustic data frames, resulting in typos. We guarantee a 99%+ transcription accuracy regardless of render speed because our pipeline employs a secondary pass: Grammar Autocorrection via LLM context understanding.
Read how our AI Refine Technology achieves 99%Instantly prep a raw 2-hour conversational recording into a searchable text transcript before publishing.
Process 30 different 45-minute lecture videos simultaneously using the batch queue function.
Drop a recorded Zoom meeting into the app and have the summary ready before the attendees even leave the building.
Navigate massive raw footage dumps by rendering out timecoded SRTs immediately after the shoot.
$0/mo
Test the speed for yourself.
$5.99/mo
For active creators.
$79/mo
For agencies and studios.
Pick a massive MP4, MOV, or AVI folder directly on your machine. No cloud uploads needed.
Choose your desired speed mode and toggle on **AI Refine** for 99% accuracy auto-correction.
In minutes, your subtitled video and SRT file are rendered instantly back into the original directory.
No. EchoSubs mathematically maintains a 99%+ accuracy rating. The speed comes from algorithmic optimization (WebGPU and CTranslate2 syntax) rather than compromising the neural language model.
You can upload a single, continuous video file up to 4 hours in length without the software crashing. For files longer than that, we recommend using the batch queue to split them.
Free users process videos at standard speeds. Once you upgrade to the $5.99/mo Pro or Business tiers, the Hybrid Speed GPU unlock is permanently activated for all renders.
When you use VEED or Kapwing, you have to upload a 5GB file to their servers via your internet connection, wait in a queue behind other users, wait for their server to render it, and then download it back. EchoSubs leverages Local+Hybrid processing to bypass this.
Time is your most expensive asset. Stop waiting an hour for a render to complete. Generate accurate subtitles for massive videos in minutes with EchoSubs.
Download Now & Process Faster