CONTENT CREATION
Backfill alt-text across an existing Drive screenshot library
On a schedule, scans a Google Drive folder of product screenshots, generates localized alt-text and captions for any image still missing them.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule fires
- ActionList and read screenshots in Drive folderGoogle Drive
- LogicFilter to images missing locale coverageAirtable
- ActionGenerate localized alt-text and captionsOpenAI
- ActionUpsert results into Airtable catalogAirtable
- OutputPost newly-described summary to SlackSlack
What it does
Sweeps a Google Drive folder of existing product screenshots and finds images that have no localized alt-text yet. For each gap it generates accessibility alt-text and a caption in your target locales, then records the screenshot, locales, and generated text as rows in an Airtable catalog you can sort and audit.
When to use it
Use it to retrofit an existing asset library that predates your localization process, or to keep a large shared Drive continuously covered. Good when assets arrive from many sources and you need one Airtable source of truth for what has been described and what still hasn't.
How it works
- 1A daily schedule starts the run.
- 2The flow lists screenshots in the target Drive folder and reads each file's content.
- 3A logic step checks Airtable and filters out images already cataloged with complete locale coverage.
- 4OpenAI generates alt-text and a caption per remaining image and translates them into the configured locales.
- 5Each result is upserted into the Airtable catalog with the asset link, locale, and status.
- 6A summary of newly described assets is posted to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect Google DriveDocs, sheets, slides, files.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect AirtableBases, tables, views, automations.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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