The test setup

I recorded a 30-minute interview with two speakers discussing a moderately technical topic (digital marketing strategy). The audio quality was good but not studio-grade - recorded on a decent USB microphone in a quiet room with occasional background noise. Real-world conditions, in other words.

I ran the same audio file through five transcription tools and evaluated each on: - Accuracy: Word error rate (I manually checked the first 10 minutes against the recording) - Speaker identification: Could it tell who was speaking? - Speed: How long from upload to finished transcript? - Formatting: Paragraphs, punctuation, timestamps - Price per hour of audio

The results

Otter.ai: Best for meetings

otter-ai delivered 96% accuracy on my test audio. Speaker identification was correct after I labelled each speaker once. The transcript was well-formatted with paragraph breaks at natural pauses, proper punctuation, and inline timestamps.

What sets Otter apart is the real-time transcription. You can use it during a live meeting and see the transcript appear as people speak. This is brilliant for meeting notes because you can mark key moments, add comments, and generate action items while the meeting is still happening.

The AI summary feature is genuinely useful. After the meeting ends, Otter generates a concise summary with action items and key points. It is not always perfect, but it gets you 80% of the way to proper meeting minutes.

Speed: Real-time during live recordings. Uploaded files processed in about 5 minutes. Cost: Free for 300 minutes per month. Pro at $10/month for 1,200 minutes. Business at $20/month for 6,000 minutes. Best for: People who transcribe meetings and want live, collaborative transcription.

Descript: Best for content creators

descript scored 97% accuracy - the highest in this test. The speaker identification was excellent, correctly separating speakers even when they talked over each other briefly.

Descript's advantage is that the transcript is directly linked to the audio and video timeline. Click on any word in the transcript and the playback jumps to that moment. Edit the transcript and the audio edits to match. For podcast editors and video creators, this integration is the entire point.

The filler word detection is Descript's secret weapon for content creators. It identifies and highlights every "um," "uh," "like," and "you know" in the transcript. One click removes them all from the audio. This alone can save hours of manual editing.

Speed: About 5 minutes for a 30-minute file. Cost: Free with 1 hour of transcription per month. Hobbyist at $24/month. Business at $33/month. Best for: Podcast and video editors who want transcript-based editing.

Fireflies.ai: Best for team integration

Fireflies.ai scored 94% accuracy. Slightly lower than Otter and Descript, but with one significant advantage: it integrates with everything. Zoom, Google Meet, Microsoft Teams, Slack, Salesforce, HubSpot. The transcript goes where you need it automatically.

For sales teams and customer success teams, this integration is valuable. The AI can identify follow-up items, customer pain points, and commitments made during calls, then push those directly into your CRM.

The accuracy, while slightly lower than the leaders, is still good enough for meeting transcription where you just need to capture the key points rather than a word-perfect record.

Speed: Real-time during meetings. About 10 minutes for uploaded files. Cost: Free tier available. Pro at $10/month. Business at $19/month. Best for: Teams that need transcripts to flow into other business tools automatically.

Rev: Best for accuracy-critical work

Rev offers both AI and human transcription. The AI transcription scored 95% accuracy on my test. The human transcription, which I also tested, scored 99%.

If you need a legally accurate transcript, medical dictation, or anything where errors have consequences, Rev's human transcription option is worth the extra cost. The turnaround is longer (12-24 hours for human transcription versus minutes for AI), but the accuracy is unmatched.

The AI transcription alone is good but not the best in this comparison. Rev's real value proposition is having both options available. Start with AI transcription for a quick draft, then send specific sections to human transcriptionists for accuracy-critical passages.

Speed: AI transcription in about 5 minutes. Human transcription in 12-24 hours. Cost: AI transcription at $0.25/minute. Human transcription at $1.50/minute. Best for: Legal, medical, and accuracy-critical transcription work.

Sonix: Best for multilingual work

Sonix scored 93% accuracy on the English test audio, placing it last in this comparison. However, Sonix supports over 40 languages with surprisingly consistent quality, which is its genuine differentiator.

For international businesses, multilingual content creators, or anyone working across languages, Sonix's ability to transcribe in dozens of languages from a single platform is genuinely useful. The translation feature can also translate transcripts between languages, creating subtitles or translated documents from audio.

Speed: About 8 minutes for a 30-minute file. Cost: Standard at $10/hour of audio. Premium at $5/hour with a subscription. Best for: Multilingual transcription and translation.

The accuracy summary

| Tool | Accuracy | Speed | Cost (per hour) | |------|----------|-------|-----------------| | Descript | 97% | 5 min | From free | | Otter.ai | 96% | 5 min | From free | | Rev (AI) | 95% | 5 min | $15 | | Fireflies | 94% | 10 min | From free | | Sonix | 93% | 8 min | $10 |

My recommendations

For most people: otter-ai. The free tier is generous, the accuracy is excellent, and the live transcription feature is genuinely useful for meetings.

For content creators: descript. The integrated editing experience is worth the price premium if you edit audio or video.

For teams: Fireflies.ai. The business tool integrations save more time than the slight accuracy disadvantage costs.

For accuracy-critical work: Rev with human transcription. No AI tool matches a skilled human transcriptionist.

For multilingual needs: Sonix. Nothing else handles 40+ languages this well from a single platform.

The accuracy gap between the best and worst tool in this test was only 4 percentage points, which is smaller than you might expect. Any of these tools will produce a usable transcript. The differences that actually matter are in the workflow features around the transcription: live versus uploaded, integrations, editing capabilities, and pricing structure.