An Otter.ai Alternative for Meeting Transcription — No Bot Required

Bot-based meeting transcription is convenient, but it comes with tradeoffs worth thinking through: an extra participant joining the call, needing calendar or meeting-app permissions to set it up, and sometimes a wait for a co-host or admin to let the bot in before recording can start.

Some teams would rather keep their meeting attendee list exactly as it is and handle transcription on their own side instead — capturing the audio themselves during the call, or recording the meeting through their existing video tool and transcribing that file afterward.

There's also a timing question. A bot generally needs to be scheduled or invited before a meeting starts, so if a call is impromptu — someone spins up a quick huddle with no calendar invite — there may be nothing in place to catch it at all unless you remember to add a bot manually.

And once a meeting bot has done its job, the raw transcript still usually needs a pass of human editing: fixing names, correcting technical terms, and double-checking that each speaker is labeled correctly — a step that applies to essentially any AI transcription tool, not just one in particular.

Otter.ai's live meeting bot is a well-known way to capture a call automatically once it's set up and admitted into the meeting. Transkio is built around a different workflow: you record the audio yourself, either straight from the browser tab during the call or by uploading a file afterward, so no automated participant ever joins your meeting. Which approach fits better usually comes down to whether you'd rather have a bot handle the capture step for you, or keep that step entirely on your own side. Once the audio is in Transkio, the rest of the workflow is the same regardless of how the meeting was captured: transcription, an inline editor with speaker renaming, and exports in TXT, SRT, VTT on every plan, with DOCX, JSON, translation, speaker detection, and summaries available as you move up plans.

Transkio isn't trying to replicate a meeting bot; it's built around recording audio yourself and turning that into a clean, usable transcript afterward. On a Pro plan, capturing a browser tab's audio while a call is happening takes one click on the #transcribe page, and the same recorder also works for a plain microphone recording — useful for an in-person meeting, a phone call, or a hallway conversation that turns out to matter later.

From there, the differentiators are in the editing and output: an editor where clicking any line jumps playback to that exact moment, speaker renaming that carries through every export automatically, automatic speaker detection and AI summaries on Elite, and translated text transcripts across 50+ languages on Pro. Export formats scale with your plan too — every plan gets TXT, SRT, VTT, with DOCX and JSON opening up on Pro and above.

If you're moving away from a bot-based workflow, the practical first step is deciding what you still need from your existing Otter.ai notes and exporting or copying that over before you stop using it — there's no automatic one-click import between the two products, so anything worth keeping is worth grabbing first.

From there, switching is mostly a matter of habit: instead of relying on a bot to join your next call, open Transkio's #transcribe page and start a browser-tab or microphone recording yourself before the meeting begins. If you've already got a backlog of recorded meetings sitting in your video tool's own cloud recordings, you can upload those files directly and get a transcript for each one without re-recording anything.

Most people find the adjustment is smaller than expected: the meeting itself doesn't change, only which tool is listening — and since no bot needs to be admitted, there's one less step to manage during the call.

If what you actually want is a bot that joins the call and starts capturing automatically the moment a scheduled meeting begins — without you needing to open a browser tab, hit record, or upload anything afterward — that's a well-known strength of Otter.ai's live-meeting-bot approach, and it's a fair reason to keep it on your shortlist. Real-time collaborative notes that update for everyone on the call as it happens are also a genuinely distinct feature that a post-meeting transcription workflow like Transkio's isn't built to replicate.

Transkio is the better fit if you'd rather keep meeting capture entirely on your own side, don't want a third-party bot showing up as a call participant, or need a workflow that also handles interviews, lectures, and other recordings beyond scheduled video calls.

Whichever tool produces it, a meeting transcript is most useful when it's cleaned up soon after the call while context is still fresh — renaming speakers, fixing a misheard client name, or correcting a technical term takes seconds right after the meeting and becomes harder to get right days later.

Once cleaned up, a transcript is worth treating as a searchable record rather than a document to be read start to finish: export it, keep it alongside your other meeting notes, and search it later for the one line that matters instead of re-listening to the recording. On Elite, an AI summary can also give you that in one pass without reading the entire transcript.

Transkio's free plan exports TXT, SRT, VTT, covering plain-text reading and subtitle formats for video platforms. Pro and up add DOCX for a formatted document you can drop into a report, and JSON for feeding a transcript into another tool or internal script.

We can't speak to Otter.ai's specific export formats or how they've changed over time — check its current feature list directly if a particular export format is a requirement for your workflow, especially if you need a specific document or subtitle format for downstream tools.

After processing finishes, you land in an editor with the audio player on one side and the text on the other, synced together. Clicking anywhere in the text jumps playback to that exact second, so if a sentence looks off, you can hear the source audio immediately instead of scrubbing manually through a long recording.

From there, fixing the transcript is mostly typing: correct a misheard word, split or join a line, or click a speaker label to rename it. Rename "Speaker 1" once, and every instance of that label across the whole transcript, plus every export you generate afterward, updates automatically — you never have to find-and-replace a name across a document by hand.

A transcript turns a meeting recording into searchable text. Finding the moment someone committed to a deadline, mentioned a budget figure, or raised a specific concern in an hour-long call becomes a text search away, instead of scrubbing back and forth through the recording guessing where it was said.

That adds up over months of meetings. Whichever tool produces them, keeping transcripts around as a searchable record — not just the audio files — is what actually makes past meetings useful again later, rather than sitting in storage unopened until someone needs to dig through them manually.

Meetings tend to dominate this kind of comparison since they're where a lot of transcription demand starts, but the same Transkio workflow applies to interviews, recorded lectures, webinars, and personal voice memos — anything that produces an audio or video file, or that you can record in-browser, works the same way through upload, transcription, and editing.

That matters if your needs span more than one category. Rather than reaching for a meeting-specific bot for calls and a separate tool for interviews or lectures, a single transcript editor and export set that works across formats keeps you from re-learning a workflow every time the source material changes.