Video Transcription

Transcribe Loom recordings with AI

Paste any Loom link into Speak and get a full transcript, AI summary, and deep analysis in minutes. Go beyond Loom’s built-in transcription with multi-model AI, cross-video search, and real analytics.

Free 7-day trial. 30 min with personal email, 60 min with work email.

Trusted by 250,000+ people and teams

What you get from every Loom transcription

Loom has built-in transcription, but it stops at basic text. Speak gives you a full analysis pipeline with AI summaries, cross-video search, sentiment analysis, and multi-model AI Chat.

Full transcript with timestamps

Every word captured with accurate timestamps using dedicated transcription engines. Higher accuracy than Loom’s built-in transcription, with export options in TXT, CSV, and SRT format.

AI-generated summary

Get the key points, decisions, and action items from any Loom recording without watching it. Perfect for catching up on async updates, standup recordings, and onboarding walkthroughs.

Multi-model AI Chat

Ask questions about any Loom recording or across a collection using Claude, Gemini, or GPT. Extract action items, compare updates across weeks, and generate meeting notes automatically.

Keyword and topic extraction

NLP analytics automatically identify key topics, project names, technical terms, and recurring themes across your Loom transcriptions.

Sentiment analysis

Understand the tone and urgency of async communications. Track how sentiment shifts across team updates, customer feedback recordings, and project check-ins.

Export and share

Download transcripts in multiple formats, share with your team through permissions and folders, or push to other tools via Zapier integration.

Why teams choose Speak over Loom’s built-in transcription

Loom, Otter, and Fireflies offer basic transcription. Speak is the only platform that combines multiple transcription engines with multi-model AI analysis, cross-video search, and a searchable archive you can query with natural language.

Higher accuracy transcription

Loom’s built-in transcription uses a single engine. Speak offers multiple transcription engines so you can choose the one that delivers the best accuracy for your content, accent, and audio conditions.

Multi-model AI, your choice

Switch between Claude, Gemini, and GPT depending on the task. Different models handle different analysis tasks differently. You choose the right tool for extracting action items, summarizing updates, or generating documentation.

Cross-video intelligence

Loom transcripts live in individual videos. Speak lets you query across your entire library. Ask “What decisions were made about the Q2 launch across all Loom updates?” and get a consolidated answer.

How teams use Loom transcription

Loom is the standard for async video communication. Transcription turns those recordings into searchable, reusable data that your team can reference, analyze, and act on without rewatching anything.

Async meeting recaps

Transcribe team standup recordings, project updates, and weekly check-ins. AI summaries let anyone catch up in seconds instead of watching a 10-minute video. Action items are extracted automatically.

Onboarding and training

Transcribe onboarding walkthroughs and training Looms to create searchable knowledge bases. New team members can search for specific topics instead of watching hours of recordings.

Product feedback loops

Product teams record Loom walkthroughs of bugs, feature requests, and user feedback. Transcription makes this content searchable and lets you track themes across dozens of feedback recordings.

Sales and customer communication

Transcribe sales Looms, demo recordings, and customer update videos. Track messaging consistency, extract objections, and build a searchable library of customer interactions.

Documentation generation

Turn Loom walkthroughs into written documentation. Record a process walkthrough, transcribe it, and use AI Chat to generate step-by-step guides, SOPs, and help articles from the transcript.

Project history and decision tracking

Teams that communicate heavily via Loom build up a valuable archive of decisions and context. Transcription makes that archive searchable. Query across months of Loom updates to find when a decision was made and why.

How Loom transcription works in Speak

Paste your Loom link

Copy any Loom recording URL and paste it into Speak. The audio is automatically extracted and queued for transcription. No downloads, no browser extensions, no file conversion needed.

Get your transcript and summary

Speak transcribes the audio and delivers a timestamped transcript, AI summary, action items, and key highlights. Choose from multiple transcription engines for the best accuracy.

Analyze with AI Chat

Ask questions about the recording, extract action items, compare across multiple Loom videos, or generate documentation from the transcript. Choose between Claude, Gemini, or GPT models.

Loom transcription in 2026: turning async video into searchable knowledge

Loom has become the default tool for async video communication in remote and hybrid teams. Product updates, bug reports, onboarding walkthroughs, standup recordings, and customer demos are all being recorded as Loom videos. The problem is that once a Loom is recorded and shared, the information inside it is difficult to find, reference, or build on without rewatching the entire video.

Loom does offer built-in transcription, but it is a single-engine solution with limited accuracy and no AI analysis layer. There is no way to search across multiple Loom transcripts, extract action items, or ask questions about the content using AI. For teams that rely heavily on Loom for communication, this means that valuable decisions, context, and feedback are trapped inside individual videos.

How Speak improves on Loom’s transcription

Speak offers multiple transcription engines, so you can choose the one that delivers the best accuracy for your team’s accents, audio setup, and content type. On top of the transcript, Speak adds AI summaries, keyword extraction, sentiment analysis, and multi-model AI Chat. You can ask questions about any Loom recording, or query across your entire collection to find specific decisions, action items, or discussion points.

Building institutional knowledge from Loom

Teams that use Loom heavily build up months or years of recorded context. Without transcription and search, that context is effectively lost once the Loom is watched. With Speak, every Loom recording becomes part of a searchable archive. “When did we decide to change the pricing model?” or “What feedback did the customer give about the onboarding flow?” become answerable questions, even if the relevant Loom was recorded six months ago.

Automating Loom transcription workflows

For teams that record dozens of Looms per week, manual transcription management is not realistic. AI Agents can automate the pipeline: transcribe new Loom recordings as they arrive, generate summaries and action items, and distribute them to your team via Slack, email, or project management tools. The result is that every Loom becomes instantly accessible as searchable text, without anyone needing to manage the process.

Teams trust Speak for video transcription

★★★★★
4.9 on G2

“We went from weeks of qual analysis to one day. Easy to use, easy to implement, and the support has been incredible.”

Connor H. Data Analyst, G2 review

“High accuracy, multilingual support, and insightful analysis. Integrations with Google and Zapier make it easy to streamline everything.”

Volker B. COO, G2 review

“I used to spend 45-30 minutes transcribing notes. Now it’s done in seconds, and I’m writing in minutes.”

Ted H. Business Owner, G2 review

Frequently asked questions

Common questions about transcribing Loom recordings with Speak.

Can I transcribe any Loom recording?

Yes. Any Loom recording that is accessible via a shared link can be transcribed by pasting its URL into Speak. Private Looms require the sharing settings to allow access.

Is Speak better than Loom’s built-in transcription?

Loom’s transcription uses a single engine with limited accuracy and no AI analysis. Speak offers multiple transcription engines for higher accuracy and adds AI summaries, keyword extraction, sentiment analysis, and cross-video AI Chat powered by Claude, Gemini, and GPT.

Can I search across multiple Loom transcripts?

Yes. This is one of Speak’s key advantages. Transcribe multiple Loom recordings and use AI Chat to ask questions across all of them at once. Search for specific decisions, action items, or topics across your entire Loom archive.

How long does Loom transcription take?

Most Loom recordings are transcribed in under a minute. Longer recordings (30-30 minutes) typically complete in a few minutes. Bulk batches of multiple Looms are processed in parallel.

Can I transcribe Loom recordings in other languages?

Yes. Speak supports transcription in 100+ languages. Select the spoken language when submitting a Loom link and Speak uses the appropriate transcription model.

Can I automatically transcribe new Loom recordings?

Yes. Use AI Agents or Zapier integration to automate transcription of new Loom recordings as they are created. Summaries and action items can be automatically distributed to your team.

How is Speak different from Otter or Fireflies for Loom transcription?

Otter and Fireflies focus on live meeting transcription. Speak specializes in transcribing async video from any platform, including Loom, and adds multi-model AI Chat, NLP analytics, and cross-video querying that meeting-focused tools do not offer.

Start transcribing Loom recordings today

Paste a Loom link, get a transcript, and unlock AI-powered analysis. Used by product teams, remote teams, and agencies to turn async video into searchable knowledge.

Start self-serve

Create a free account, paste your first Loom link, and get a transcript with AI analysis in minutes. Full access during your 7-day trial.

Work with our team

Need help setting up automated Loom transcription pipelines, building searchable team archives, or integrating with your existing workflow tools? We can help.


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How to Transcribe Loom Videos with Speak AI

Loom doesn’t offer built-in transcription with speaker labels or AI analysis. Speak AI fills that gap — paste any Loom share URL and get a full transcript with timestamps, speaker detection, and AI-powered insights delivered in minutes.

What you get when you transcribe a Loom video

  • Full verbatim transcript — every word with timestamps so you can jump to any moment
  • Speaker detection — identifies narrators and on-screen participants where applicable
  • Searchable Loom library — all your transcribed Looms indexed and searchable by keyword
  • AI summary — plain-language summary of what the Loom covers, key decisions, and action items
  • Export options — TXT, DOCX, SRT subtitles, or shareable transcript link

Loom transcription FAQ

How do I transcribe a Loom video to text?

Go to speakai.co, paste your Loom share URL into the upload field, and click Transcribe. Speak AI fetches the video and returns a full transcript in minutes — no download required.

Can I get a Loom video to text for free?

Yes. Speak AI’s free tier includes transcription of Loom videos up to the monthly free minute limit. No credit card required to start.

Does Speak AI support Loom workspace recordings?

Yes. You can paste any publicly accessible Loom link — individual recordings, workspace videos, and shared libraries all work the same way.

Paste your Loom URL — get a transcript in minutes. Free, no credit card.

Try Speak AI Free

Connect Loom to your Speak workflow

Pick the path that matches your team. Every tab below has copy-pasteable code.




For product and design teams

Transcribe a Loom by pasting its share link

Copy your Loom share link and paste it into Speak AI. Speak fetches the video, transcribes it in your chosen language, and returns a speaker-labeled transcript in minutes. No download required.

Direct URL upload






curl -X POST https://api.speakai.co/v1/media/upload \
  -H "x-speakai-key: $SPEAK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Product walkthrough - August",
    "url": "https://www.loom.com/share/abc123def456",
    "mediaType": "video",
    "sourceLanguage": "en-US",
    "tags": "loom,product"
  }'
await fetch("https://api.speakai.co/v1/media/upload", {
  method: "POST",
  headers: { "x-speakai-key": process.env.SPEAK_API_KEY, "Content-Type": "application/json" },
  body: JSON.stringify({
    name: "Product walkthrough - August",
    url: "https://www.loom.com/share/abc123def456",
    mediaType: "video",
    sourceLanguage: "en-US",
    tags: "loom,product",
  }),
});
import os, requests
requests.post(
    "https://api.speakai.co/v1/media/upload",
    headers={"x-speakai-key": os.environ["SPEAK_API_KEY"]},
    json={
        "name": "Product walkthrough - August",
        "url": "https://www.loom.com/share/abc123def456",
        "mediaType": "video",
        "sourceLanguage": "en-US",
        "tags": "loom,product",
    },
    timeout=30,
)

Speak supports public Loom URLs and password-protected URLs (pass the password as `urlPassword` in the upload body).

For product and UX teams

Watch a Loom folder for new recordings

Connect a Loom folder or workspace via the Speak automations API. Every new Loom added to that folder is processed automatically.

Folder-watch automation




curl -X POST https://api.speakai.co/v1/automations \
  -H "x-speakai-key: $SPEAK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Loom UX walkthroughs",
    "trigger": {"type": "loom.folder.new", "folderId": "$LOOM_FOLDER_ID"},
    "actions": [
      {"type": "transcribe", "language": "auto"},
      {"type": "summarize", "prompt": "Key product decisions + open questions"},
      {"type": "tag", "tags": ["loom", "ux"]}
    ]
  }'
await fetch("https://api.speakai.co/v1/automations", {
  method: "POST",
  headers: { "x-speakai-key": process.env.SPEAK_API_KEY, "Content-Type": "application/json" },
  body: JSON.stringify({
    name: "Loom UX walkthroughs",
    trigger: { type: "loom.folder.new", folderId: process.env.LOOM_FOLDER_ID },
    actions: [
      { type: "transcribe", language: "auto" },
      { type: "summarize", prompt: "Key product decisions + open questions" },
      { type: "tag", tags: ["loom", "ux"] },
    ],
  }),
});

Folder watch polls Loom every 5 minutes.

For research and product

Run any Magic Prompt against a Loom transcript

After Speak transcribes the Loom, run any Magic Prompt against it: extract design decisions, list open questions, or generate a Notion-ready writeup.

Fire + poll Magic Prompt




# 1. Fire
curl -X POST https://api.speakai.co/v1/prompt/ \
  -H "x-speakai-key: $SPEAK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "mediaIds": ["86a36b59b38e"],
    "prompt": "List every design decision in this walkthrough with the timestamp.",
    "isStream": false,
    "isIndividualPrompt": true
  }'

# 2. Poll (typical completion 2-3s)
curl "https://api.speakai.co/v1/prompt/messages?mediaIds=86a36b59b38e&pageSize=1" \
  -H "x-speakai-key: $SPEAK_API_KEY"
// Same async pattern as the verified /v1/prompt/ recipe.
// See /integrations/twilio/ for the full helper function.

Magic Prompt works against any Speak media; the Loom is just the source.

For product and design leads

Query every Loom from Claude or ChatGPT

Search the entire Loom library in natural language. No watching the videos.

Install the MCP server




npx -y @speakai/mcp-server install
export SPEAKAI_API_KEY=sk_live_...
https://mcp.speakai.co/v1/sse?key=$SPEAKAI_API_KEY
Sample prompts
Find the three Loom walkthroughs from last sprint where we changed the onboarding copy.

Summarize every Loom from the design team this month into one writeup.

Which Looms mentioned a competitor by name in the last 30 days?

Index a Loom by adding `loom` to its tags during upload, then query MCP with `tag:loom` to scope.

Used by product and design teams to turn async Loom walkthroughs into searchable transcripts and structured summaries, without watching the video.

4.9★ on G2
250,000+ users
Deloitte · EY · HubSpot · Amazon · Ontario · IEEE

Loom transcription FAQ

Questions teams ask before they connect

How do I generate a Loom transcript?
Paste your Loom video URL into Speak AI or upload the video file directly. Speak transcribes the video in under 2 minutes for most recordings and returns a full transcript with speaker labels and timestamps. You can edit the transcript, export it as DOCX or SRT, or run AI analysis on top of it.
Is there a Loom transcript generator?
Yes. Speak AI is a dedicated Loom transcript generator. Paste the Loom share URL and Speak fetches and transcribes the video automatically in 80+ languages. You get accurate speaker-labeled text, not automated captions, plus an AI summary and the ability to ask questions about the video content.
How do I transcribe a Loom video to text?
Open Speak AI and select URL Import. Paste your Loom link. Speak downloads the video in the background and returns a formatted text transcript, typically within 2 minutes for a standard Loom recording. The transcript is fully editable and exportable as PDF, DOCX, SRT, or JSON.
Can I get a Loom AI summary?
Yes. After Speak AI transcribes your Loom, it runs an automatic AI summary covering key points, decisions, and action items. You can also write a custom Magic Prompt to extract specific information. For example: “List every design decision in this Loom walkthrough with the timestamp where it was made.”
Does Speak AI support Loom captions?
Speak AI produces full transcripts rather than auto-captions. Export the transcript as an SRT file and upload it to Loom as a caption file to get accurate, human-readable captions. The SRT export preserves timestamps so captions sync correctly to the video.
What languages does Loom transcription support?
Speak AI transcribes Loom videos in 80+ languages including English, French, Spanish, German, Portuguese, Japanese, Korean, Arabic, and Hindi. Select your language before processing or let Speak detect it automatically. Speaker labels work across all supported languages.

Related Speak AI integrations