How to Transcribe Loom Videos to Text (2026 Guide)

TL;DR: Loom already gives you automatic captions and a built-in transcript, so for many short async updates the job is basically done. The catch is that the native workflow is best for quick viewing inside Loom. If you need a cleaner text file, subtitle export, speaker-by-speaker notes, or a transcript you can reuse outside Loom, you will probably want one extra step.

That extra step is simple. You either copy the transcript straight from Loom, export captions if your plan allows it, or move the video into a transcription platform that is better at cleanup and repurposing. This guide walks through all three paths, what each one is good at, and where people usually get stuck.

Loom is not some niche tool anymore. When Atlassian announced its acquisition, it said Loom had more than 25 million users and over 200,000 customers, with business users recording almost 5 million videos every month. That scale explains why transcript quality matters now. Teams are no longer recording the occasional screen demo. They are using Loom for product walkthroughs, bug reports, onboarding, handoffs, customer updates, and internal training. Once that library grows, video without text becomes hard to search and harder to reuse.

What Loom already gives you out of the box

Loom's native transcript is better than many people realize. According to Loom's own help docs, captions and transcripts are generated automatically after the video is processed, and the platform supports more than 50 languages. Viewers can read along, search inside the transcript, and jump to the exact moment where a word was spoken. For a five-minute product update, that is often enough.

The plan details matter, though. Loom's pricing and support pages split transcript features across tiers. Searchable transcripts are widely available, but downloading SRT captions and transcribing uploaded videos is more limited, especially if you want to bring in a file that was recorded somewhere else. So the first question is not 'Can Loom transcribe this?' It is 'Do I need the transcript to stay inside Loom, or do I need an exportable asset I can actually work with?'

Workflow 1: Copy the transcript directly from Loom

This is the fastest route and the one most people should try first. Open the video, wait until processing finishes, then open the transcript panel. Loom lets you view the text alongside the video, and from there you can copy what you need into a doc, task, wiki, or chat. If the video is short and the audio is clear, this often gets you 80% of the way with almost no friction.

Where this workflow works best: short explainers, bug reports, onboarding clips, and async status updates where one person talks most of the time. Where it breaks down: longer walkthroughs, interviews, customer calls, or any recording where you need polished output instead of raw transcript text.

Workflow 2: Export captions when you need subtitle files

Sometimes you do not need a readable document at all. You need subtitles. Maybe the Loom is turning into a help-center video. Maybe marketing wants to republish it on LinkedIn. Maybe a teammate wants captions burned into a social cut. In those cases, the useful output is usually SRT or something close to it, not a paragraph block copied from the player.

Loom's own documentation says caption download is available on supported paid plans. If you are on one of those tiers, this can be the cleanest path because you keep the original timing. Export the caption file, open it in a text editor, and make small fixes before you send it to your video editor or upload it to another platform.

• Use this route when timing matters more than prose quality
• Good fit for republishing Loom videos with captions on other platforms
• Best when one speaker is talking clearly and the timing is already close enough
• Not ideal if you need a cleaned-up article, detailed notes, or multi-source transcript search

Workflow 3: Move the Loom video into a transcription platform when you need better output

This is the workflow I would pick if the transcript has to do real work after the video is watched. Think customer research clips, detailed walkthroughs, training libraries, founder updates, course material, or any Loom that should later become an article, a checklist, a help doc, or structured meeting notes. Loom is good at recording and sharing. It is not trying to be a full transcript workspace.

A web transcription platform like QuillAI at quillhub.ai makes more sense when you want a transcript you can actually reuse. The flow is straightforward: download the Loom video or upload the audio track, process it in QuillAI, then work with the result as text, timestamps, key points, and speaker-separated chunks. If your team also transcribes Google Meet calls, interviews, phone audio, or webinars, keeping everything in one place is a lot saner than hunting through separate video players.

When Loom's built-in transcript is enough

• You recorded a short update and just want teammates to skim it faster
• The speaker is clear, the audio is clean, and there is little overlap
• You do not need SRT, VTT, PDF, or a polished text document
• The transcript will stay inside Loom and will not become a separate deliverable
• Your main job is review, not repurposing

That is an important point because people often overbuild the workflow. If the transcript only exists to help someone watch one Loom more efficiently, the native tool is fine. Do not invent a six-step process for a two-minute bug explanation.

When the native transcript starts to feel cramped

• You need a clean text version to quote, edit, archive, or pass into another tool
• You want subtitle exports for channels outside Loom
• The video includes interviews, handoffs, or multiple speakers
• You are building a knowledge base and want transcripts from many platforms in one place
• You plan to turn the video into written content later

This is where QuillAI comes in naturally. Instead of treating the Loom transcript as a dead-end viewing aid, you turn the recording into a working asset. That is especially helpful if you already use transcripts to build support docs, summarize onboarding calls, or repurpose one recording into several pieces of content. If that last use case sounds familiar, our guide on How to Repurpose One Interview Into 10 Pieces of Content shows what happens once the transcript is clean enough to edit.

Best practices for cleaner Loom transcripts

Also, keep file handling in mind. Loom's help docs note that uploaded videos have size and length limits on supported plans. If you are dealing with long training recordings or bulky demos, check those limits first instead of discovering them halfway through a cleanup job.

What to do with the transcript once you have it

A Loom transcript is not just accessibility polish. It is leverage. You can pull action items from a product handoff. You can turn a founder update into a team memo. You can take a walkthrough and convert it into written instructions for support. You can even use the same workflow you would use for How to Add Subtitles to Any Video Using AI Transcription if the recording is headed toward public video.

And if your async stack includes meetings as well as Loom, pair this with our guide on How to Transcribe Google Meet Recordings Automatically. The tools differ, but the logic is the same: once the recording becomes searchable text, the content stops being trapped in a player.