Connect Frame.io and TextRazor to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Frame.io
Choose an Action
Automatically do this!
Analyze Text
Enable Integrations or automations with these events of Frame.io and TextRazor
Enable Integrations or automations with these events of Frame.io and TextRazor
Actions
Get a user
Get the current authenticated User
Analyze Text
Processes and analyzes the provided text to extract entities, topics, and other linguistic features.
Explore more automations built by businesses and experts
Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Social Media Post Creation and Scheduling Across Multiple Platforms
- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
- YoutubeYoutube Video ScriptYoutube Description VideoCreate an Avatar VideoDelayRetrieve Shareable Link for a Video1Upload VideoAdd Step
- TwitterTwitter TweetPost a TweetAdd Step
- LinkedinLinkedin ArticleCreate a linkedin Article or URL postAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
To start, connect both your Frame.io and TextRazor accounts to viaSocket. Once connected, you can set up a workflow where an event in Frame.io triggers actions in TextRazor (or vice versa).
Absolutely. You can customize how Frame.io data is recorded in TextRazor. This includes choosing which data fields go into which fields of TextRazor, setting up custom formats, and filtering out unwanted information.
The data sync between Frame.io and TextRazor typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Frame.io and TextRazor. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Frame.io
Frame.io is a video review and collaboration platform designed to streamline the post-production process. It allows teams to upload, review, and share video content seamlessly, making it easier to gather feedback and make revisions.
Learn MoreAbout TextRazor
TextRazor is a powerful natural language processing API that provides advanced text analysis capabilities. It allows users to extract meaningful insights from text data, including entity recognition, sentiment analysis, and language detection. TextRazor is ideal for developers and businesses looking to enhance their applications with AI-driven text analysis features.
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