OpenAI — AI Content Generation & Enrichment
Automate content generation, captioning, and metadata enrichment with OpenAI in Enveu Flow. Integrate GPT models into your media operations pipeline.
What this integration does
Automate content generation, captioning, and metadata enrichment with OpenAI in Enveu Flow. Integrate GPT models into your media operations pipeline.
Best for
Generating metadata summaries, social captions, content tags, and moderation outputs at scale across large content catalogs.
Use OpenAI GPT models to generate captions, social media copy, content summaries, and metadata enrichment. Use in Social Media Publishing and Clips workflows to automatically create platform-optimised content.
Inputs & outputs.
Inputs
Prompt
Instruction for the AI model — summarise, tag, caption, moderate
Source content
Transcript, metadata, or asset description to process
Model
GPT model version to use for the task
Outputs
Generated text
Caption, summary, tags, or moderation result depending on prompt
Token usage
Input and output token count for cost tracking
Triggers & actions.
Triggers
Transcript ready
Fires when an upstream transcription step outputs text ready for enrichment
Asset metadata available
Metadata fields output by upstream step trigger enrichment or caption generation
Actions
Generate caption
Write a platform-optimised social media caption for a piece of content
Summarise content
Generate a short description or synopsis from a transcript or metadata
Generate tags
Produce a list of relevant tags and keywords for a content asset
Moderate content
Check content against policy rules and return a moderation decision
Classify content
Assign genre, category, or rating based on content description or transcript
Example workflow.
Asset approved
CMS trigger
→
Transcribe audio
Gladia
→
Generate caption
OpenAI
→
Generate tags
OpenAI
→
Update CMS
Metadata
→
Notify
Slack
Used in these workflows.
Works well with
Frequently asked questions.
Flow supports all current OpenAI chat completion models including GPT-4o, GPT-4o mini, and GPT-3.5 Turbo. You configure the preferred model in your workflow - different steps can use different models based on quality and cost requirements.
Yes. Flow can pass asset metadata, transcript content, or any structured data to OpenAI and use the generated text as metadata descriptions, social captions, or content summaries.
You configure a system prompt in your workflow that defines your brand tone, style guidelines, and any specific instructions. Flow passes this context with every OpenAI request, ensuring consistent output across all generated content.
Yes. Flow can pass content metadata or transcripts to OpenAI and use the response to classify assets by genre, topic, sentiment, or any custom taxonomy you define.