Free alternative to Adobe Podcast Enhance Speech
Home › Guides · Last checked 2026-10-21 · Facts verified from each project's docs unless marked tested
The closest free alternative to Adobe Podcast Enhance Speech is DeepFilterNet, an open-source (MIT or Apache-2.0) AI model that suppresses background noise in speech. It runs offline on Windows, macOS and Linux, with no daily hour cap and no file size limit. The catch: it's a command-line tool, the ready-made binary only accepts 48kHz WAV files, and it removes noise rather than doing Adobe's full studio-sound treatment.
| Adobe Podcast Enhance Speech (free) | DeepFilterNet | |
|---|---|---|
| Cost | Free plan; Premium is paid (Adobe Podcast plans) | Free |
| Daily limit | 1 hour of enhanced speech per day | None |
| File limits | 30 min and 500 MB per file, audio only | 48kHz WAV for the CLI binary; no size cap |
| Runs where | Adobe's servers, in your browser | Your computer, offline |
| License | Commercial service | MIT or Apache-2.0 |
| Catch | Daily cap; uploads to Adobe | Command line; WAV only; noise removal, not full mastering |
Clean a recording in 3 steps
- Download the deep-filter binary for your system (Windows, macOS Intel or Apple Silicon, Linux) from DeepFilterNet releases.
- Convert your file to 48kHz WAV:
ffmpeg -i episode.mp3 -ar 48000 episode.wav. - Run
deep-filter episode.wav. The cleaned file lands in an out folder. Add--pfto enable the post-filter, or-Dto compensate for delay.
Prefer Python? pip install deepfilternet after installing PyTorch, then run deepFilter path/to/audio.wav. This route can use a GPU. Linux users can also add the LADSPA plugin for live mic cleanup through PipeWire.
The catches
- No app: it's a terminal tool. There's no drag-and-drop window.
- Format prep: the binary wants 48kHz WAV, so convert first.
- Noise only: it won't level volume or add EQ. Normalize in a free editor afterward.
- Quiet project: no release since 2023.
When Adobe is still worth it
For a short episode under 30 minutes a day, Adobe's free plan is easier: upload, wait and download, with leveling included. DeepFilterNet wins on long recordings, batches, privacy-sensitive audio and anything that would blow through the 1-hour daily cap.
Sources: DeepFilterNet README (usage and license), LADSPA plugin README, DeepFilterNet releases, Adobe Podcast plans, Adobe Enhance Speech FAQ (all checked 2026-10-21). We have no affiliate link with either. See all free voice tools or read free auto-subtitle tools and Whisper vs Otter for transcripts.
FAQ
What are Adobe Podcast's free Enhance Speech limits?
Adobe's plan page (checked 2026-10-21) lists audio only, one file at a time, up to 30 minutes and 500 MB per file and 1 hour of enhanced speech per day. Premium raises that to 2-hour, 1 GB files, 4 hours a day, video support and a strength control.
Is DeepFilterNet really free?
Yes. Its README says all code is dual-licensed MIT or Apache-2.0, your choice, with pretrained models included in the repo.
Does it do what Enhance Speech does?
Partly. DeepFilterNet suppresses noise in speech. Adobe's FAQ says Enhance Speech also adjusts pitch and volume levels and normalizes the audio. For loudness, run a normalize step in a free editor like Audacity afterward.
My file is an MP3. Can I use it?
Not with the deep-filter binary directly: its README says only 48kHz WAV files are supported. Convert first, for example with ffmpeg -i in.mp3 -ar 48000 out.wav. The Python version needs PyTorch.
Can it clean my mic live on calls?
On Linux, yes: its LADSPA plugin works with PipeWire to create a noise-suppressed virtual mic for apps like Zoom or Discord. The plugin's README puts minimum latency at 20 ms.
Is it still maintained?
The last tagged release is v0.5.6 from August 2023 and the last code push was October 2024, per GitHub. It works, but don't expect new features soon.