How to Transcribe Audio to Text with Glasp
Turn Recordings into Searchable Transcripts, Summaries, and Downloadable Files
We’re excited to announce a new tutorial on Glasp: How to Transcribe Audio Files & Turn Them Into Searchable Knowledge
With this feature, you can upload audio files directly to Glasp, automatically generate transcripts, highlight key moments, and organize spoken content just like articles or PDFs.
Beyond transcription, Glasp helps you turn audio into reusable knowledge you can search, annotate, and connect across your tools.
Whether it’s podcasts, interviews, meetings, lectures, or voice memos, Glasp lets you:
Automatically generate accurate transcripts from audio files
Highlight key insights and add notes directly to transcripts
Organize and tag spoken ideas for future reference
Search only the important parts by focusing on your highlights
Reuse transcript highlights across your knowledge workflow
In this tutorial, we’ll walk you through how to upload audio files, generate transcripts, highlight important ideas, and turn spoken content into structured knowledge — so you can spend less time replaying audio and more time thinking.
🪄 How It Works
Let’s walk through how to set it up in just a few steps 👇
Step 1: Sign up for Glasp
Choose your preferred browser, such as Google Chrome, Brave, Safari, or Microsoft Edge.
In your browser’s address bar, type glasp.co and you’ll be taken directly to Glasp’s website. You can also access it using the link below.
Once you’re on the site, click Sign up and continue with your Google account.
You can sign up for Glasp with either Google Sign-in or Apple Sign-in. If you’re not an iPhone/iPad user, we strongly recommend you use Google Sign-in.
After finalizing your account, you will be taken to welcome page.
Step 2: Go to Your Glasp Dashboard (Profile Page)
Once you’ve signed up for Glasp, go to Glasp – Audio Transcriber and click “Dashboard.”
This will take you to your Glasp dashboard (your profile page), where you can upload audio files and manage your transcripts.
This will take you to your profile page. From there, click the + button in the left sidebar.
Step 3: Start a New Audio Transcription
Once you’re on your Glasp dashboard (profile page), click the “+” button in the left sidebar and select “Audio Transcription.”
This will open the upload screen where you can add your audio file.
Drag and drop your audio file into the upload area, or click “Select File.”
Once the file is added, click “Upload Audio File” to start the transcription.
Glasp automatically detects the language of your audio file, so you don’t need to manually select it. (You can still choose a language if you prefer.)
Click “Upload Audio File” to begin uploading.
Once the file is uploaded, Glasp will start generating the transcript automatically.
Depending on the length of the audio, this may take a few minutes.
When the transcript is ready, you’ll see the summary and full transcript on your audio page.
Step 4: View and Use Your Transcript
Once the transcription is complete, you’ll see the full transcript on your audio page.
From there, you can:
Highlight key sentences
Add notes to important moments
Generate an AI summary
Copy the transcript with one click
Download it as .srt or .mp4
Your audio is now fully searchable and reusable.
Highlight the Transcript with Glasp
Simply select a sentence and choose a highlight color from the popup.
Your highlight will be saved to your Glasp profile — just like web articles or PDFs.
Add a Note to the Transcript
Select a sentence in the transcript and click the note icon in the popup.
A note window will appear where you can write your thoughts, insights, or summaries.
Click “Save” to attach your note to that highlighted section.
Copy the Transcript
Click “Copy” to copy the entire transcript with one click. You can paste it into Notion, Google Docs, Obsidian, or anywhere you work.
Play the Audio
Use the built-in audio player to listen directly from the transcript page. You can change the playback speed, skip ahead, or adjust the volume as needed.
Summarize the Transcript
Click “+ Summarize” to instantly generate an AI-powered summary of your transcript. This helps you quickly grasp the key ideas without rereading the entire conversation.
Once the AI finishes generating the summary, it will appear at the top of the page.
The summary includes key sections and timestamps, so you can quickly understand the main ideas at a glance.
Download or Repurpose Your Content
Click “Download” to choose how you’d like to export your content.
You can:
Download the transcript as an .srt file
Download the original audio file (.m4a)
Generate a short audio video (~3 minutes) for easy sharing
(Optional) Step 5: Edit the Title
To rename your audio file, click the three dots (⋯) in the top right corner and select “Edit Title.”
Enter a new title and click “OK” to save your changes.
(Optional) Step 6: Share Your Transcript
Audio files are saved privately by default.
If you’d like to share your transcript, switch the visibility to Public and use the generated link to send it to your team, audience, or collaborators.
(Optional) Step 7: Delete the Audio File
Click the three dots (⋯) next to the title and choose “Delete.” Once confirmed, the audio file and transcript will be permanently removed.
Audio shouldn’t disappear after you press play.
With Glasp, you can transcribe, highlight, annotate, summarize, and repurpose your audio — making every conversation part of your long-term knowledge system.
If you haven’t already, sign up for Glasp and start building knowledge from everything you consume — including audio.
💡Pro Tips
Turn your recordings into searchable transcripts, summaries, and publish-ready content with Glasp.
Go further with these tutorials:
👉 How to Create a Q&A-Style Article from an Audio File Using Glasp
👉 How to Transcribe an iPhone Voice Memo with Glasp
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Thank you for reading. Please follow the link below for a video tutorial.
https://www.youtube.com/watch?v=k7Q17nVZMTw
This is a genuinely practical walkthrough, thank you for keeping it step-by-step and not turning it into “AI magic” hand-waving.
A few things I especially appreciate:
1. You separate tool capability from workflow. The real value isn’t just transcription, but it’s what people do next (summarize, tag, extract quotes, turn into notes/content). That framing makes this useful beyond podcasters.
2. You implicitly highlight something important: transcription quality depends heavily on audio hygiene (mic quality, background noise, speaker overlap). People often blame the model when the input signal is the limiting factor.
3. The accessibility angle matters. For many users (students, researchers, clinicians) speech-to-text isn’t a convenience; it’s a cognitive or time-saving bridge.
One addition that might strengthen the piece: a quick note on data privacy. Many people transcribe sensitive conversations (client calls, patient discussions, internal meetings). A sentence reminding readers to check retention policies and compliance considerations (HIPAA, GDPR, etc.) would round this out.
Overall, very actionable and clear. This is the kind of content that lowers friction in knowledge work rather than just describing trends.