A Notta alternative should match how your audio reaches you. Live meetings suit an AI meeting agent. Interviews and recorded files suit an upload-and-transcribe app, or a human-checked service when every word must be right. Developers building voice features need a speech-to-text API. Recordings of people contain personal data, so check where each tool stores files.
Journalists, researchers and interviewers ask more of a transcription tool than most meeting note users do. You need names spelled right, quotes you can trust and a way to find the exact moment someone said something.
Three routes to a transcript
Apps that transcribe for you. Upload a file or connect your meetings, and AI produces the text. Quick, and good enough for most notes.
Human-checked services. A person reviews the text. Slower, but worth it for anything you'll quote in print or rely on in a formal setting.
APIs for developers. If you're building transcription into your own product, you want a speech-to-text API rather than an app.
Recordings are personal data
An interview recording holds someone's voice, their name and often details of their life. The European Commission says personal data is any information that relates to an identified or identifiable living individual.
I'm not offering legal advice, and nothing here says a particular tool is suitable for sensitive recordings. My practical habit is simple: before uploading anything, find out where the tool stores files and transcripts, how long it keeps them, and how you delete them. Then make sure the people you record know what you're doing with the recording.
The ten tools below are in no particular order, A to Z. Each description is based on the vendor's own website.
Do you make transcription software? Tool makers can ask to be considered for a featured place on this list.
What journalists should look for
- Timestamps you can click to jump straight to the audio.
- Speaker labels you can rename and correct quickly.
- Export formats that work in your writing tools and your caption files.
- Translation, if you interview people in more than one language.
- Sharing that lets an editor see the transcript without seeing your whole account.
Ten transcription tools, A to Z
Deepgram
Best for: Developers who want speech-to-text, text-to-speech and voice agent APIs that work in real time and at scale.
Descript
Best for: Podcasters and video makers who want to record, transcribe and edit by editing the text, then publish from the same tool.
MacWhisper
Best for: Mac users who want to transcribe audio files with OpenAI's Whisper, Qwen or Nvidia Parakeet models.
Otter
Best for: People who want real-time transcription, automated summaries and action items from their meetings.
Scribie
Best for: Anyone who wants human-verified transcripts of interviews, podcasts, depositions or marketing content, with fast delivery.
Sonix
Best for: Teams that want audio and video turned into text in minutes, with AI summaries and speaker detection.
Speechmatics
Best for: Developers building voice AI that needs to cope with accents, multiple speakers and multilingual speech.
Want AI doing the heavy lifting in your marketing?
I build the systems that handle the boring 80 percent, so you get your week back. Done properly, with the human kept in.
Temi
Best for: People who want fast transcripts of their video and audio files.
Trint
Best for: Journalists and media teams who want to transcribe, translate and collaborate on a first draft.
Verbit
Best for: Organisations in law, media, entertainment or higher education that need transcripts and captions built for their field.
How they compare
| Tool | Type | Good for |
|---|---|---|
| Deepgram | Speech-to-text API | Developers building voice features |
| Descript | AI audio and video editor | Editing recordings by editing the text |
| MacWhisper | Mac transcription app | Transcribing audio files on a Mac |
| Otter | AI meeting agent | Live meeting transcription and summaries |
| Scribie | Human-verified transcription | Interviews and depositions needing checked text |
| Sonix | Automated transcription | Fast transcripts in many languages |
| Speechmatics | Speech-to-text API | Accents and multilingual speech |
| Temi | Transcription service | Fast transcripts of audio and video |
| Trint | Media transcription | Newsrooms drafting from interviews |
| Verbit | Transcripts and captions | Law firms, courts, media and education |
A ten-minute accuracy check
Vendor accuracy claims are measured on their test audio, not yours. So take one real recording with the things that trip AI up: an accent, a bit of crosstalk, a brand name and a number. Run it through each shortlisted tool and count the fixes you'd need before you could quote from it. The tool needing the fewest fixes on your own audio is the one to keep.
If you work with video, my guide to YouTube transcript generators covers pulling text from published videos, and my round-up of AI video translation tools helps once you want that content in other languages.
Small habits that improve any transcript
- Record each speaker on a separate track if you can. Speaker detection gets far easier.
- Use a decent microphone close to the speaker. No tool can transcribe what it can't hear.
- Add names, brands and jargon to the tool's custom vocabulary if it has one.
- Say the date, the place and who's speaking at the start of each recording, so you can find it later.
These cut correction time more than switching tools does. A basic lapel microphone often does more for transcript quality than a change of software, so sort the recording first and pick the tool second.
Matching the tool to the job
A weekly podcast, a research project with forty interviews and a developer building voice search are three completely different jobs. The podcaster wants editing and publishing in one place. The researcher wants accuracy, speaker labels and easy export. The developer wants an API that copes with messy real-world audio. Decide which one you are before you compare anything.
Advice for interviewers and journalists
Use AI transcription for speed and your own ears for anything you'll publish. Before you quote someone, play the moment back and check the words against the audio. It takes seconds, and it's the habit that protects your reputation and your interviewee's. Pick the tool that makes jumping from text to audio easiest, because that's the step you'll repeat most.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
Is AI transcription accurate enough to quote from?
It can be close, but always check the audio before you quote anyone. Accents, crosstalk and names are where errors creep in.
When should I use a human-checked transcription service?
When every word matters, such as quotes for publication or formal records. It's slower than AI, but a person has reviewed the text.
Where should I check that my recordings are stored?
Ask each vendor where files and transcripts are stored, how long they're kept and how to delete them, then check that against your own obligations.
Do I need an app or an API?
If you want transcripts for your own interviews or meetings, an app is the simpler route. If you're building transcription into your own product or workflow, a speech-to-text API is what you need, and a developer will usually set it up.
Is this list ranked?
No. The tools are listed in no particular order, A to Z, using each vendor's own descriptions.
