Create .SRT subtitles & .LRC lyrics from audio with Whisper AI and GPT-5-nano
Create .SRT subtitles & .LRC lyrics from audio with Whisper AI and GPT-5-nano
Run this with your team's AIWhat This Recipe Does
The LyricsTranscribe automation streamlines the process of converting audio content into accurate, formatted text files. By leveraging a simple form interface, users can submit media requests and receive high-quality transcriptions without manually managing file conversions or complex transcription software. This workflow handles the heavy lifting of processing HTTP requests, executing data formatting, and managing the necessary wait times for processing large files. For businesses producing video content, podcasts, or music, this tool eliminates the administrative bottleneck of manual transcription. It ensures that spoken words are quickly converted into searchable, editable documents, allowing teams to focus on content strategy and distribution rather than data entry. By automating the transcription pipeline, organizations can scale their content production, improve accessibility for their audience, and maintain a centralized repository of all audio assets in text format. This solution turns a time-consuming technical task into a reliable, background process that delivers consistent results every time.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
123FormBuilder connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect 123FormBuilder once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Content creators use this to generate subtitles and written blog posts from their video or podcast recordings automatically.
- Marketing teams use this to transcribe customer interviews and testimonials for use in case studies and social media copy.
- Education providers use this to convert lecture audio into accessible study guides and searchable text archives for students.
Frequently Asked Questions
What type of audio files can I submit for transcription?
The automation is designed to handle standard audio formats via the submission form, which are then processed and converted into text files.
Can I customize the format of the final transcription file?
Yes, the workflow includes formatting steps that can be adjusted to produce specific file types or text layouts based on your business requirements.
How does the system handle long audio files?
The workflow includes built-in wait logic and conditional checks to ensure that longer recordings are processed completely before the final file is generated.
Do I need to stay on the page while the transcription is running?
No, once the form is submitted, the automation runs in the background. You can continue with other tasks while the system processes your media.
Coming from n8n?
This recipe uses nodes like Langchain.lmChatOpenAi, HttpRequest, FormTrigger, Code and 5 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork