Václav Čikl
Templates by Václav Čikl
Create .SRT subtitles & .LRC lyrics from audio with Whisper AI and GPT-5-nano
Overview This workflow automates the entire process of creating professional subtitle (.SRT) and synced lyrics (.LRC) files from audio recordings. Upload your vocal track, let Whisper AI transcribe it with precise timestamps, and GPT-5-nano segments it into natural, singable lyric lines. With an optional quality control step, you can manually refine the output while maintaining perfect timestamp alignment. Key Features Whisper AI Transcription: Word-level timestamps with multi-language support via ISO codes Intelligent Segmentation: GPT-5-nano formats transcriptions into natural lyric lines (2-8 words per line) Quality Control Option: Download, edit, and re-upload corrections with smart timestamp matching Advanced Alignment: Levenshtein distance algorithm preserves timestamps during manual edits Dual Format Export: Generate both .SRT (video subtitles) and .LRC (synced lyrics) files No Storage Needed: Files generated in-memory for instant download Multi-Language: Supports various languages through Whisper API Use Cases Generate synced lyrics for music video releases on YouTube Create .LRC files for Musixmatch, Apple Music, and Spotify Prepare professional subtitles for social media content Batch process subtitle files for catalog releases Maintain consistent lyric formatting across artists Streamline content delivery for streaming platforms Speed up video editing workflow Perfect For For Musicians & Artists For Record Labels For Content Creators What You'll Need Required Setup OpenAI API Key for Whisper transcription and GPT-5-nano segmentation Recommended Input Format: MP3 audio files (max 25MB) Content: Clean vocal tracks work best (isolated vocals recommended, but whole tracks works still good) Languages: Any language supported by Whisper (specify via ISO code) How It Works Automatic Mode (No Quality Check) Upload your MP3 vocal track to the workflow Transcription: Whisper AI processes audio with word-level timestamps Segmentation: GPT-5-nano formats text into natural lyric lines Generation: Workflow creates .SRT and .LRC files Download your ready-to-use subtitle files Manual Quality Control Mode Upload your MP3 vocal track and enable quality check Transcription: Whisper AI processes audio with timestamps Initial Segmentation: GPT-5-nano creates first draft Download the .TXT file for review Edit lyrics in any text editor (keep line structure intact) Re-upload corrected .TXT file Smart Matching: Advanced diff algorithm aligns changes with original timestamps Download final .SRT and .LRC files with perfect timing Technical Details Transcription API: OpenAI Whisper (/v1/audio/transcriptions) Segmentation Model: GPT-5-nano with custom lyric-focused prompt System Prompt: "You are helping with preparing song lyrics for musicians. Take the following transcription and split it into lyric-like lines. Keep lines short (2–8 words), natural for singing/rap phrasing, and do not change the wording." Timestamp Matching: Levenshtein distance + alignment algorithm File Size Limit: 25MB (n8n platform default) Processing: All in-memory, no disk storage Cost: Based on Whisper API usage (varies with audio length) Output Formats .SRT (SubRip Subtitle) Standard format for: YouTube video subtitles Video editing software (Premiere, DaVinci Resolve, etc.) Media players (VLC, etc.) .LRC (Lyric File) Synced lyrics format for: Musixmatch Apple Music Spotify Music streaming services Audio players with lyrics display Pro Tips 💡 For Best Results: Use isolated vocal tracks when possible (remove instrumentals) Ensure clear recordings with minimal background noise For quality check edits, only modify text content—don't change line breaks Test with shorter tracks first to optimize your workflow ⚙️ Customization Options: Adjust GPT segmentation style by modifying the system prompt Add language detection or force specific languages in Whisper settings Customize output file naming conventions in final nodes Extend workflow with additional format exports if needed Workflow Components Audio Input: Upload interface for MP3 files Whisper Transcribe: OpenAI API call with timestamp extraction Post-Processing: GPT-5-nano segmentation into lyric format Routing Quality Check: Decision point for manual review Timestamp Matching: Diff and alignment for corrected text Subtitles Preparation: JSON formatting for both output types File Generation: Convert to .SRT and .LRC formats Download Nodes: Export final files Template Author: Questions or need help with setup? 📧 Email:xciklv@gmail.com 💼 LinkedIn:https://www.linkedin.com/in/vaclavcikl/
By Václav ČiklGenerate personalized promotion emails with GPT-5 and Gmail context analysis
Description: This sophisticated workflow automates personalized email campaigns for musicians and band managers. The system processes contact databases, analyzes previous Gmail conversation history, and uses AI to generate contextually appropriate emails tailored to different contact categories (venues, festivals, media, playlists). Key Features: Multi-category support: Bookers, festivals, media, playlist curators Conversation context analysis: Maintains relationship history from Gmail AI-powered personalization: Custom prompts for each contact type Multi-language support: Localized content and prompts Gmail integration: Automatic draft creation with signatures Bulk processing: Handle hundreds of contacts efficiently Use Cases: Album/single promotion campaigns Tour booking automation Festival submission management Playlist pitching campaigns Media outreach automation Venue relationship management Perfect For: Independent musicians and bands Music managers and booking agents Record labels with multiple artists PR agencies in music industry Festival organizers (for artist outreach) Required Setup: Credentials & APIs: Gmail OAuth2 (read messages + create drafts permissions) Google Sheets API (for AutomatizationHelper configuration) OpenAI API or compatible LLM (for content generation) Required Files: Contact Database (CSV): Your venue/media/festival contacts AutomatizationHelper (Google Sheets): Campaign configuration, prompts, links Example Data: 📁 Download Example Files The folder contains: Sample contact database (CSV) AutomatizationHelper template (CSV + Google Sheets) Detailed setup instructions (README) Data Structure: Contact Database Fields: venue_name - Organization name category - booker/festival/media/playlisting email_1 - Primary email (required) email_2 - Secondary email (optional, for CC) active - active/inactive (for filtering) language - EN/DE/etc. (for localization) AutomatizationHelper Fields: LANGUAGE - Language code CATEGORY - Contact type LATEST_SINGLE - Spotify/Apple Music link LATEST_VIDEO - YouTube/Vimeo link EPK - Electronic Press Kit URL SIGNATURE - HTML email signature PROMPT - AI prompt for this category SUBJECT - Email subject template Setup Instructions: Step 1: Prepare Your Data Download example files from the Google Drive folder Replace sample data with your real contacts and band information Customize AI prompts for your communication style Update signature with your contact details Step 2: Configure APIs Set up Gmail OAuth2 credentials in n8n Configure Google Sheets API access Add OpenAI API key for content generation Step 3: Import & Configure Workflow Import the workflow JSON Connect your credentials to respective nodes Update Google Sheets URL in AutomatizationHelper node Test with a small contact sample first Step 4: Customize & Run Adjust AI prompts in AutomatizationHelper for your style Update contact categories as needed Run workflow - drafts will be created in Gmail for review Tips: Start small: Test with 5-10 contacts first Review drafts: Always review AI-generated content before sending Update regularly: Keep your AutomatizationHelper current with latest releases Monitor responses: Track which prompts work best for different categories Language mixing: You can have contacts in multiple languages Important Notes: Emails are created as Gmail drafts - manual review recommended Respects Gmail API rate limits automatically Conversation history analysis works best with existing email threads HTML signatures are automatically added (Gmail API limitation workaround) Handles multiple languages simultaneously Maintains conversation context across campaigns Generates unique content for each contact --- Template Author: Questions or need help with setup? Email: xciklv@gmail.com LinkedIn: https://www.linkedin.com/in/vaclavcikl/
By Václav ČiklBuild Gmail contact database with GPT-5 Nano, Brave Search & Google Sheets
Overview Transform your Gmail sent folder into a comprehensive, enriched contact database automatically. This workflow processes hundreds or thousands of sent emails, extracting and enriching contact information using AI and web search – saving days of manual work. What This Workflow Does Loads sent Gmail messages and extracts basic contact information Deduplicates contacts against your existing Google Sheets database Searches for email conversation history with each contact AI-powered extraction from email threads (phone, socials, websites) Fallback web search via Brave API when no email history exists Saves enriched data to Google Sheets with all discovered contact details Perfect For Musicians & bands organizing booker/venue contacts Freelancers & agencies building client databases Sales teams enriching prospect lists from outbound campaigns Consultants creating structured contact databases from years of emails Key Features Intelligent Two-Path Enrichment Path A (Email History): Analyzes existing email threads to extract contact details from signatures and message content Path B (Web Search): Falls back to Brave API search + HTML scraping when no email history exists AI-Powered Data Extraction Uses GPT-5 Nano to intelligently parse: Phone numbers Website URLs LinkedIn profiles Instagram, Twitter, Facebook, Youtube, TikTok, LinkTree, BandCamp... Alternative email addresses Built-in Deduplication Prevents duplicate entries by checking existing Google Sheets records before processing. Free-Tier Friendly Runs entirely on free tiers: Gmail API (free) OpenAI GPT-5 Nano (cost-effective) Brave Search API (2,000 free searches/month) Google Sheets (free) Setup Requirements Required Accounts & Credentials Gmail Account - OAuth2 credentials for Gmail API access OpenAI API Key - For GPT-5 Nano model Brave Search API Key - Free tier (2,000 searches/month) Google Sheets - OAuth2 credentials Google Sheets Structure Create a Google Sheet with these columns (see template link): Template Sheet: Make a copy here How to Use Clone this workflow to your n8n instance Configure credentials for Gmail, OpenAI, Brave Search, and Google Sheets Create/connect your Google Sheet using the template structure Run manually to process all sent emails and build your initial database Review results in Google Sheets - enriched with discovered contact info First Run Tips Start with a smaller Gmail query (e.g., last 6 months) to test Check Brave API quota before processing large volumes Manual trigger means you control when processing happens Processing time varies based on email volume (typically 2-5 seconds per contact) Customization Ideas Extend the Enrichment Include company information parsing Extract job titles from email signatures Automate Regular Updates Convert manual trigger to scheduled trigger Process only recent sent emails for incremental updates Add email notification when new contacts are added Integration Options Push enriched contacts to CRM (HubSpot, Salesforce) Send Slack notifications for high-value contacts Export to Airtable for relational database features Improve Accuracy Add human-in-the-loop review for uncertain extractions Implement confidence scoring for AI-extracted data Add validation checks for phone numbers and URLs Use Case Example Music Promoter Building Venue Database: Processed 1,835 sent emails to bookers and venues AI extracted contact details from 60% via email signatures Brave search found websites for remaining 40% Final database: 1,835 enriched contacts ready for outreach Time saved: ~40 hours of manual data entry Technical Notes Rate Limiting: Brave API free tier = 2,000 searches/month Duplicates: Handled at workflow start, not during processing Empty Results: Stores email + name even when enrichment fails Model: Uses GPT-5 Nano for cost-effective parsing Gmail Scope: Reads sent emails only (not inbox) Cost Estimate For processing 1,000 contacts: Gmail API: Free GPT-5 Nano: ~$0.50-2 (depending on email length) Brave Search: Free (within 2K/month limit) Google Sheets: Free Total: Under $2 for 1,000 enriched contacts Template Author: Questions or need help with setup? 📧 Email:xciklv@gmail.com 💼 LinkedIn:https://www.linkedin.com/in/vaclavcikl/
By Václav Čikl