I Tested 7 AI Tools for Podcasters: Here’s What Actually Works
Hands-on review of AI podcast editing, transcription, show notes, and audio enhancement tools. Real numbers, honest comparisons, and practical tips from a tech reviewer.
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Features
**Key Takeaways**
- **Descript cuts editing time by 60%** for most podcasters, but noise removal is weak in crowded rooms.
- **Otter.ai and Rev.com** are the fastest for transcription; Rev is more accurate with heavy accents (98% vs 95% for Otter).
- **Swell AI** generates show notes in under 2 minutes, but you must proofread for hallucinated quotes.
- **Auphonic** is the best free audio enhancer for fixing inconsistent volume levels; it worked on my 3-hour interview without crashing.
---
## Why I Started Testing AI Tools for My Podcast
I run a weekly interview podcast called "Side Hustle Stories." Editing a 45-minute episode used to take me 3 hours. Between cutting filler words, syncing audio, writing show notes, and cleaning up background noise, I was burning out. So I spent two months testing every AI podcast tool I could find. Here’s what I learned.
## AI Podcast Editing: Descript vs. Riverside.fm
**Descript** is the current king for text-based editing. You import audio, and it transcribes everything. You can delete words from the transcript, and the audio vanishes too. It’s eerie but fast.
- Example: I removed 12 "um"s and 4 long pauses from a 30-minute episode in 90 seconds. Manual editing would have taken 15 minutes.
- The Studio Sound feature (AI noise reduction) works well for quiet rooms but failed on a guest who recorded in a coffee shop. The hiss remained.
**Riverside.fm** records locally and offers a similar text-based editor, but its AI is less mature. It missed 7% of filler words compared to Descript’s 2% miss rate in my test. However, Riverside’s separate track recording for each participant avoids sync issues. Descript sometimes desyncs audio if you edit too aggressively.
| Feature | Descript | Riverside.fm |
|---------|----------|--------------|
| Filler word removal | 98% accurate | 93% accurate |
| Noise reduction | Good (quiet rooms) | Better (handles outdoor wind) |
| Price (Pro plan) | $24/month | $24/month |
| Separate tracks | Requires manual sync | Automatic |
**My take**: Use Descript for solo shows or clean studio recordings. Use Riverside for remote interviews with multiple guests.
## Transcription: Otter.ai vs. Rev.com
I tested both with the same 20-minute clip: a thick Scottish accent, technical jargon ("blockchain," "API"), and overlapping speech.
- **Otter.ai**: 95% accuracy. Handled jargon well but stumbled on the accent. It transcribed "glaikit" as "glacier." Cost: $16.99/month for 6,000 minutes.
- **Rev.com**: 98% accuracy. The human-reviewed option (AI + human) was perfect. But it costs $1.50/minute. For a 60-minute episode, that’s $90. Otter would cost $0.28.
**Real numbers**: Otter exported the transcript in 4 minutes. Rev’s AI-only option took 12 minutes; the human review took 4 hours.
**My take**: If you have guests with strong accents or use niche vocabulary, pay for Rev. For casual shows, Otter is fine.
## Show Notes Generation: Swell AI vs. Podsqueeze
I ran the same transcript through both tools.
- **Swell AI**: Generated a 300-word summary, 5 key takeaways, and 3 quotable moments in 1.5 minutes. The summary was solid, but it invented a quote from my guest: "I started my business in a dumpster." That never happened. Always fact-check.
- **Podsqueeze**: Slower (3 minutes) but more conservative. It pulled 6 actual quotes and created a bulleted list of topics. No hallucinations.
**My take**: Swell is faster and better for SEO-optimized titles. Podsqueeze is safer for accuracy. I use Swell for drafts and edit manually.
## Audio Enhancement: Auphonic vs. Adobe Podcast
- **Auphonic**: Free for up to 2 hours/month. It levels volume dynamically. My guest spoke at 40% volume while I was at 80%. Auphonic balanced it to a steady -16 LUFS (broadcast standard) in 5 minutes. No subscription needed.
- **Adobe Podcast (beta)**: The "Enhance Speech" tool is magical for one voice. I uploaded a recording made with a cheap USB mic in a noisy room. It removed the hum and made it sound like a Shure SM7B. But it crashed twice on my 50-minute file. Adobe says it supports up to 60 minutes, but my experience says otherwise.
**My take**: Use Auphonic for multi-track episodes or inconsistent volume. Use Adobe Podcast for short solo segments or voicemails.
## FAQ
**1. Can AI replace a human podcast editor entirely?**
Not yet. AI handles repetitive tasks like filler word removal and volume leveling, but it can’t judge pacing, emotional tone, or creative cuts. For a polished show, I still spend 30 minutes manually tweaking the AI’s output. Think of AI as a fast assistant, not a replacement.
**2. Which tool is best for removing background noise?**
Adobe Podcast’s Enhance Speech is the best for solo speakers. For multi-guest shows, Krisp.ai (not covered here) does real-time noise removal during recording. Descript’s Studio Sound is decent for clean rooms but fails in loud environments.
**3. How much time do these tools actually save per episode?**
I measured my workflow before and after. Pre-AI: 3 hours editing + 45 minutes show notes + 15 minutes transcription = 4 hours. After AI: 1 hour editing + 10 minutes show notes + 4 minutes transcription = 1 hour 14 minutes. That’s a 69% time savings—but only if you don’t obsess over perfection.
---
*Disclosure: I have no affiliate links. All tools were tested with my own money. Results will vary based on your audio quality and accent diversity.*
- **Descript cuts editing time by 60%** for most podcasters, but noise removal is weak in crowded rooms.
- **Otter.ai and Rev.com** are the fastest for transcription; Rev is more accurate with heavy accents (98% vs 95% for Otter).
- **Swell AI** generates show notes in under 2 minutes, but you must proofread for hallucinated quotes.
- **Auphonic** is the best free audio enhancer for fixing inconsistent volume levels; it worked on my 3-hour interview without crashing.
---
## Why I Started Testing AI Tools for My Podcast
I run a weekly interview podcast called "Side Hustle Stories." Editing a 45-minute episode used to take me 3 hours. Between cutting filler words, syncing audio, writing show notes, and cleaning up background noise, I was burning out. So I spent two months testing every AI podcast tool I could find. Here’s what I learned.
## AI Podcast Editing: Descript vs. Riverside.fm
**Descript** is the current king for text-based editing. You import audio, and it transcribes everything. You can delete words from the transcript, and the audio vanishes too. It’s eerie but fast.
- Example: I removed 12 "um"s and 4 long pauses from a 30-minute episode in 90 seconds. Manual editing would have taken 15 minutes.
- The Studio Sound feature (AI noise reduction) works well for quiet rooms but failed on a guest who recorded in a coffee shop. The hiss remained.
**Riverside.fm** records locally and offers a similar text-based editor, but its AI is less mature. It missed 7% of filler words compared to Descript’s 2% miss rate in my test. However, Riverside’s separate track recording for each participant avoids sync issues. Descript sometimes desyncs audio if you edit too aggressively.
| Feature | Descript | Riverside.fm |
|---------|----------|--------------|
| Filler word removal | 98% accurate | 93% accurate |
| Noise reduction | Good (quiet rooms) | Better (handles outdoor wind) |
| Price (Pro plan) | $24/month | $24/month |
| Separate tracks | Requires manual sync | Automatic |
**My take**: Use Descript for solo shows or clean studio recordings. Use Riverside for remote interviews with multiple guests.
## Transcription: Otter.ai vs. Rev.com
I tested both with the same 20-minute clip: a thick Scottish accent, technical jargon ("blockchain," "API"), and overlapping speech.
- **Otter.ai**: 95% accuracy. Handled jargon well but stumbled on the accent. It transcribed "glaikit" as "glacier." Cost: $16.99/month for 6,000 minutes.
- **Rev.com**: 98% accuracy. The human-reviewed option (AI + human) was perfect. But it costs $1.50/minute. For a 60-minute episode, that’s $90. Otter would cost $0.28.
**Real numbers**: Otter exported the transcript in 4 minutes. Rev’s AI-only option took 12 minutes; the human review took 4 hours.
**My take**: If you have guests with strong accents or use niche vocabulary, pay for Rev. For casual shows, Otter is fine.
## Show Notes Generation: Swell AI vs. Podsqueeze
I ran the same transcript through both tools.
- **Swell AI**: Generated a 300-word summary, 5 key takeaways, and 3 quotable moments in 1.5 minutes. The summary was solid, but it invented a quote from my guest: "I started my business in a dumpster." That never happened. Always fact-check.
- **Podsqueeze**: Slower (3 minutes) but more conservative. It pulled 6 actual quotes and created a bulleted list of topics. No hallucinations.
**My take**: Swell is faster and better for SEO-optimized titles. Podsqueeze is safer for accuracy. I use Swell for drafts and edit manually.
## Audio Enhancement: Auphonic vs. Adobe Podcast
- **Auphonic**: Free for up to 2 hours/month. It levels volume dynamically. My guest spoke at 40% volume while I was at 80%. Auphonic balanced it to a steady -16 LUFS (broadcast standard) in 5 minutes. No subscription needed.
- **Adobe Podcast (beta)**: The "Enhance Speech" tool is magical for one voice. I uploaded a recording made with a cheap USB mic in a noisy room. It removed the hum and made it sound like a Shure SM7B. But it crashed twice on my 50-minute file. Adobe says it supports up to 60 minutes, but my experience says otherwise.
**My take**: Use Auphonic for multi-track episodes or inconsistent volume. Use Adobe Podcast for short solo segments or voicemails.
## FAQ
**1. Can AI replace a human podcast editor entirely?**
Not yet. AI handles repetitive tasks like filler word removal and volume leveling, but it can’t judge pacing, emotional tone, or creative cuts. For a polished show, I still spend 30 minutes manually tweaking the AI’s output. Think of AI as a fast assistant, not a replacement.
**2. Which tool is best for removing background noise?**
Adobe Podcast’s Enhance Speech is the best for solo speakers. For multi-guest shows, Krisp.ai (not covered here) does real-time noise removal during recording. Descript’s Studio Sound is decent for clean rooms but fails in loud environments.
**3. How much time do these tools actually save per episode?**
I measured my workflow before and after. Pre-AI: 3 hours editing + 45 minutes show notes + 15 minutes transcription = 4 hours. After AI: 1 hour editing + 10 minutes show notes + 4 minutes transcription = 1 hour 14 minutes. That’s a 69% time savings—but only if you don’t obsess over perfection.
---
*Disclosure: I have no affiliate links. All tools were tested with my own money. Results will vary based on your audio quality and accent diversity.*