HumationHuman + Automation
Back to Catalog

Extract and translate TikTok video transcripts with OpenAI GPT-4 to Google Docs

Sk developer Sk developer
1102 views
2/3/2026
MarkdownWebhookJSONAutomationAnalysis
Official Page

TikTok Transcript to OpenAI GPT-4

This automation workflow provides a seamless, efficient, and AI-powered solution for extracting, processing, and storing TikTok video subtitles. By combining TikTok Transcript API, OpenAI GPT-4 API, and Google Docs, this workflow transforms the process of transcription and text analysis into a smooth, automated experience. It's perfect for content creators, marketers, and businesses who need to process large volumes of TikTok videos and want to leverage AI for language processing and summarization.

How It Works:

  1. User Form Submission:

    • The process begins when a user submits a TikTok video URL and specifies the language in which they want the processed content. The data is captured via a simple form that triggers the entire workflow.
    • The form is crucial for collecting the necessary parameters before processing, such as the video link and language preferences.

  2. Fetching Subtitles from TikTok:

    • The workflow uses the TikTok Transcript API to retrieve subtitles from the specified TikTok video. This API extracts all textual data associated with the video (including spoken words, captions, etc.) in real-time.
    • The TikTok Transcript API allows you to fetch subtitles efficiently, making it ideal for those who need to process content from TikTok quickly.

  3. Advanced Processing with OpenAI GPT-4:

    • Once the TikTok subtitles are fetched, the workflow sends this text to OpenAI’s GPT-4 API. OpenAI's GPT-4 model is renowned for its powerful natural language processing capabilities, making it perfect for handling multi-lingual data.
    • OpenAI GPT-4 API processes the raw transcript in several ways, including:
      • Translation: If the subtitles are in a different language, GPT-4 API can translate them to the desired language.
      • Summarization: GPT-4 API can summarize long TikTok video subtitles into concise points, saving you time and effort.
      • Text Interpretation: You can configure GPT-4 API to generate insights, analyze emotions, or interpret context, which is ideal for detailed content analysis.

  4. Storing the Results in Google Docs:

    • After processing the subtitles, the final output (whether it is a translated, summarized, or interpreted version) is automatically saved into a Google Doc.
    • This integration allows the processed text to be stored in an easily editable and shareable format. The document can be accessed by anyone with permission, making it perfect for team collaboration or content management.

  5. Workflow Automation:

    • The automation continues with a wait step to ensure that all data is fetched and processed before moving on to storing it in Google Docs.
    • It ensures that the entire process is handled without needing manual intervention, from fetching subtitles to generating results and storing them.

Key Features and Benefits:

  • Efficient TikTok Subtitle Extraction: Automatically fetch TikTok video subtitles using the TikTok Transcript API, eliminating the need for manual transcription.

  • AI-Driven Text Processing: Use the power of OpenAI GPT-4 API to process the extracted text. GPT-4 API can translate, summarize, or analyze the subtitles for advanced insights, making it far more than just a transcription tool.

  • Seamless Multi-Language Support: OpenAI GPT-4 API handles multiple languages, translating or summarizing the content based on the user’s input. This makes the workflow versatile for global content creators and marketers.

  • Google Docs Integration: After processing the subtitles, the results are saved directly into Google Docs for easy access, editing, and sharing. This ensures that all processed data is stored in an organized manner and ready for use in various projects.

  • Time & Effort Savings: The entire process is automated from start to finish, allowing users to bypass manual transcription and processing tasks. You can focus on creating content while the workflow handles all the repetitive tasks.

  • Advanced Text Insights: By using OpenAI’s GPT-4 API, you not only get the raw transcript, but you also get insights, summaries, translations, and other interpretations that enhance your content’s value.

Challenges Solved:

  • Manual Transcription: This workflow eliminates the need for manual transcription by automatically fetching subtitles from TikTok using the TikTok Transcript API.

  • Language Barriers: With OpenAI GPT-4, users can translate TikTok video subtitles into any language, ensuring the content is accessible to a global audience.

  • Content Management: By storing processed content in Google Docs, this workflow makes it easier to manage and collaborate on transcriptions and analysis, providing a central hub for your data.

  • Automation for Productivity: This workflow automates every step of the process, from fetching subtitles to analyzing and storing them, freeing up time for higher-value tasks like content creation, strategy planning, or marketing.

APIs Integrated:

  • TikTok Transcript API: Retrieves subtitles directly from TikTok videos, providing the base for further processing.

  • OpenAI GPT-4 API: Handles advanced text processing, including translation, summarization, and analysis of the TikTok video subtitles.

  • Google Docs API: Stores processed content into Google Docs, providing a clean, accessible format for viewing and collaboration.

Use Cases:

  • Content Creation: Automatically process and summarize video subtitles for content creation, marketing, or research purposes.
  • Market Research: Extract and analyze content from TikTok to understand audience sentiment, trending topics, and engagement strategies.
  • Education: Teachers and educators can use the workflow to analyze educational TikTok videos and save the insights in Google Docs for lesson planning.

Conclusion:

This TikTok Transcript to OpenAI GPT-4 + Google Docs Automation workflow saves time, enhances content processing with AI, and organizes results into easily accessible documents. By integrating the TikTok Transcript API and OpenAI GPT-4 API, it provides a smart, automated solution for anyone working with TikTok content. Whether you're a content creator, researcher, or marketer, this workflow can help you streamline and optimize your content processing tasks.

n8n Form Trigger to Google Docs

This n8n workflow demonstrates a basic data ingestion and storage process. It listens for submissions from an n8n form, then processes the received data, waits for a short period, and finally records the information into a Google Docs document. A sticky note is included for documentation within the workflow itself.

What it does

This workflow performs the following steps:

  1. Listens for Form Submissions: It starts by waiting for data submitted through an n8n form.
  2. Processes Data (HTTP Request): It then makes an HTTP request. While the specific details of this request are not fully defined in the provided JSON, it's typically used to send or retrieve additional data based on the form submission.
  3. Waits for a specified duration: A Wait node is included to introduce a pause in the workflow execution. This can be useful for rate limiting, waiting for external processes, or simply for demonstration purposes.
  4. Creates/Updates Google Docs: Finally, it interacts with Google Docs, likely to create a new document or append data to an existing one, using the information gathered from the form submission and the HTTP request.
  5. Provides Internal Documentation: A Sticky Note node is present, likely containing notes or instructions relevant to the workflow's internal logic or usage.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance.
  • Google Docs Account: A Google account with access to Google Docs.
  • Google Docs Credentials: Configured Google Docs credentials in n8n (OAuth2 recommended).
  • HTTP Request Configuration: The HTTP Request node will need to be configured with the correct URL, method, and any necessary headers or body data for its intended purpose.

Setup/Usage

  1. Import the Workflow:
    • Download the provided JSON file.
    • In your n8n instance, click "Workflows" in the left sidebar.
    • Click "New" and then "Import from JSON".
    • Paste the JSON content or upload the file.
  2. Configure Credentials:
    • Locate the "Google Docs" node.
    • Click on the "Credential" field and either select an existing Google Docs credential or create a new one. Follow the n8n documentation for setting up Google OAuth2 credentials.
  3. Configure the HTTP Request Node:
    • Open the "HTTP Request" node.
    • Configure the "URL", "Method", "Headers", and "Body" according to your specific API interaction needs.
  4. Configure the n8n Form Trigger:
    • Open the "On form submission" node.
    • Note the "Webhook URL" which you will use to submit data to this workflow. You can also customize the form fields if needed.
  5. Configure the Wait Node:
    • Adjust the Wait node's duration if the default pause is not suitable for your needs.
  6. Activate the Workflow:
    • Once all configurations are complete, click the "Activate" toggle in the top right corner of the workflow editor.

Now, when data is submitted to the n8n Form Trigger's webhook URL, the workflow will execute, perform the HTTP request, wait, and then interact with Google Docs.

Related Templates

Track competitor SEO keywords with Decodo + GPT-4.1-mini + Google Sheets

This workflow automates competitor keyword research using OpenAI LLM and Decodo for intelligent web scraping. Who this is for SEO specialists, content strategists, and growth marketers who want to automate keyword research and competitive intelligence. Marketing analysts managing multiple clients or websites who need consistent SEO tracking without manual data pulls. Agencies or automation engineers using Google Sheets as an SEO data dashboard for keyword monitoring and reporting. What problem this workflow solves Tracking competitor keywords manually is slow and inconsistent. Most SEO tools provide limited API access or lack contextual keyword analysis. This workflow solves that by: Automatically scraping any competitor’s webpage with Decodo. Using OpenAI GPT-4.1-mini to interpret keyword intent, density, and semantic focus. Storing structured keyword insights directly in Google Sheets for ongoing tracking and trend analysis. What this workflow does Trigger — Manually start the workflow or schedule it to run periodically. Input Setup — Define the website URL and target country (e.g., https://dev.to, france). Data Scraping (Decodo) — Fetch competitor web content and metadata. Keyword Analysis (OpenAI GPT-4.1-mini) Extract primary and secondary keywords. Identify focus topics and semantic entities. Generate a keyword density summary and SEO strength score. Recommend optimization and internal linking opportunities. Data Structuring — Clean and convert GPT output into JSON format. Data Storage (Google Sheets) — Append structured keyword data to a Google Sheet for long-term tracking. Setup Prerequisites If you are new to Decode, please signup on this link visit.decodo.com n8n account with workflow editor access Decodo API credentials OpenAI API key Google Sheets account connected via OAuth2 Make sure to install the Decodo Community node. Create a Google Sheet Add columns for: primarykeywords, seostrengthscore, keyworddensity_summary, etc. Share with your n8n Google account. Connect Credentials Add credentials for: Decodo API credentials - You need to register, login and obtain the Basic Authentication Token via Decodo Dashboard OpenAI API (for GPT-4o-mini) Google Sheets OAuth2 Configure Input Fields Edit the “Set Input Fields” node to set your target site and region. Run the Workflow Click Execute Workflow in n8n. View structured results in your connected Google Sheet. How to customize this workflow Track Multiple Competitors → Use a Google Sheet or CSV list of URLs; loop through them using the Split In Batches node. Add Language Detection → Add a Gemini or GPT node before keyword analysis to detect content language and adjust prompts. Enhance the SEO Report → Expand the GPT prompt to include backlink insights, metadata optimization, or readability checks. Integrate Visualization → Connect your Google Sheet to Looker Studio for SEO performance dashboards. Schedule Auto-Runs → Use the Cron Node to run weekly or monthly for competitor keyword refreshes. Summary This workflow automates competitor keyword research using: Decodo for intelligent web scraping OpenAI GPT-4.1-mini for keyword and SEO analysis Google Sheets for live tracking and reporting It’s a complete AI-powered SEO intelligence pipeline ideal for teams that want actionable insights on keyword gaps, optimization opportunities, and content focus trends, without relying on expensive SEO SaaS tools.

Ranjan DailataBy Ranjan Dailata
161

Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax

Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation. 📋 What This Template Does This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat. Crafts original, structured lyrics with verses, choruses, and bridges using OpenAI Submits to Fal.ai for melody, instrumentation, and vocals aligned to the style Handles long-running generations with smart looping and status checks Returns complete song package (lyrics + audio link) for seamless sharing 🔧 Prerequisites n8n account (self-hosted or cloud with chat integration enabled) OpenAI account with API access for GPT models Fal.ai account for AI music generation 🔑 Required Credentials OpenAI API Setup Go to platform.openai.com → API keys (sidebar) Click "Create new secret key" → Name it (e.g., "n8n Songwriter") Copy the key and add to n8n as "OpenAI API" credential type Test by sending a simple chat completion request Fal.ai HTTP Header Auth Setup Sign up at fal.ai → Dashboard → API Keys Generate a new API key → Copy it In n8n, create "HTTP Header Auth" credential: Name="Fal.ai", Header Name="Authorization", Header Value="Key [Your API Key]" Test with a simple GET to their queue endpoint (e.g., /status) ⚙️ Configuration Steps Import the workflow JSON into your n8n instance Assign OpenAI API credentials to the "OpenAI Chat Model" node Assign Fal.ai HTTP Header Auth to the "Generate Music Track", "Check Generation Status", and "Fetch Final Result" nodes Activate the workflow—chat trigger will appear in your n8n chat interface Test by messaging: "Create an upbeat pop song about road trips" 🎯 Use Cases Content Creators: YouTubers generating custom jingles for videos on the fly, streamlining production from idea to audio export Educators: Music teachers using chat prompts to create era-specific folk tunes for classroom discussions, fostering interactive learning Gift Personalization: Friends crafting anniversary R&B tracks from shared memories via quick chats, delivering emotional audio surprises Artist Brainstorming: Songwriters prototyping hip-hop beats in real-time during sessions, accelerating collaboration and iteration ⚠️ Troubleshooting Invalid JSON from AI Agent: Ensure the system prompt stresses valid JSON; test the agent standalone with a sample query Music Generation Fails (401/403): Verify Fal.ai API key has minimax-music access; check usage quotas in dashboard Status Polling Loops Indefinitely: Bump wait time to 45-60s for complex tracks; inspect fal.ai queue logs for bottlenecks Lyrics Under 600 Characters: Tweak agent prompt to enforce fuller structures like [V1][C][V2][B][C]; verify output length in executions

Daniel NkenchoBy Daniel Nkencho
601

Automate Dutch Public Procurement Data Collection with TenderNed

TenderNed Public Procurement What This Workflow Does This workflow automates the collection of public procurement data from TenderNed (the official Dutch tender platform). It: Fetches the latest tender publications from the TenderNed API Retrieves detailed information in both XML and JSON formats for each tender Parses and extracts key information like organization names, titles, descriptions, and reference numbers Filters results based on your custom criteria Stores the data in a database for easy querying and analysis Setup Instructions This template comes with sticky notes providing step-by-step instructions in Dutch and various query options you can customize. Prerequisites TenderNed API Access - Register at TenderNed for API credentials Configuration Steps Set up TenderNed credentials: Add HTTP Basic Auth credentials with your TenderNed API username and password Apply these credentials to the three HTTP Request nodes: "Tenderned Publicaties" "Haal XML Details" "Haal JSON Details" Customize filters: Modify the "Filter op ..." node to match your specific requirements Examples: specific organizations, contract values, regions, etc. How It Works Step 1: Trigger The workflow can be triggered either manually for testing or automatically on a daily schedule. Step 2: Fetch Publications Makes an API call to TenderNed to retrieve a list of recent publications (up to 100 per request). Step 3: Process & Split Extracts the tender array from the response and splits it into individual items for processing. Step 4: Fetch Details For each tender, the workflow makes two parallel API calls: XML endpoint - Retrieves the complete tender documentation in XML format JSON endpoint - Fetches metadata including reference numbers and keywords Step 5: Parse & Merge Parses the XML data and merges it with the JSON metadata and batch information into a single data structure. Step 6: Extract Fields Maps the raw API data to clean, structured fields including: Publication ID and date Organization name Tender title and description Reference numbers (kenmerk, TED number) Step 7: Filter Applies your custom filter criteria to focus on relevant tenders only. Step 8: Store Inserts the processed data into your database for storage and future analysis. Customization Tips Modify API Parameters In the "Tenderned Publicaties" node, you can adjust: offset: Starting position for pagination size: Number of results per request (max 100) Add query parameters for date ranges, status filters, etc. Add More Fields Extend the "Splits Alle Velden" node to extract additional fields from the XML/JSON data, such as: Contract value estimates Deadline dates CPV codes (procurement classification) Contact information Integrate Notifications Add a Slack, Email, or Discord node after the filter to get notified about new matching tenders. Incremental Updates Modify the workflow to only fetch new tenders by: Storing the last execution timestamp Adding date filters to the API query Only processing publications newer than the last run Troubleshooting No data returned? Verify your TenderNed API credentials are correct Check that you have setup youre filter proper Need help setting this up or interested in a complete tender analysis solution? Get in touch 🔗 LinkedIn – Wessel Bulte

Wessel BulteBy Wessel Bulte
247