Start your weekly review with the themes
Have Notis extract topics from the Gemini notes you submit for review, so you can begin with the main threads.
Trigger
Recurring schedule
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Action
Extract Topics from Text
A tool to extract topics from text using textrazor's topic extraction capabilities. topics represent the main themes and concepts discussed in the text, with relevance scores indicating their importance to the document.
Why this helps
A weekly review can stall when notes are long and their main threads are not obvious.
- Extract topics and relevance scores from submitted notes.
- Create a recurring moment to revisit the week's themes.
- Reduce the effort required to scan a pile of notes.
Setup
Build it in a few focused steps.
- 1Connect Gemini and TextRazor to Notis once in the portal.
- 2Create an automation in the portal or tell Notis the result you want.
- 3Give one plain-language instruction to extract topics from the Gemini notes included in the run.
- 4Choose a weekly schedule and a channel for run reports.
- 5Test with one real set of weekly notes.
Questions about this workflow
Will this search my Gemini history automatically?
No. Gemini has no trigger event here. Include the relevant notes in the webhook or prompt context available to the scheduled run.
What does TextRazor return?
The topic action returns themes discussed in the text and their relevance scores.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Gemini to Textrazor. A trigger fires from one place; an action lands in another.
Gemini triggers
Textrazor actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Get Account Information
This tool retrieves comprehensive information about a textrazor account, providing essential details about the account's status, usage, and limits. it returns an account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring api usage, managing requests, and ensuring compliance with subscription limits.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Classify Text
This tool will classify text into predefined categories using textrazor's classification capabilities. it takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. the tool supports various built-in classifiers including: - textrazor iab: iab qag segments - textrazor iab content taxonomy 3.0: iab content taxonomy v3.0 (2022) - textrazor mediatopics 2023q1: latest iptc media topics (march 2023) - and other versions of these taxonomies
Manage Custom Classifiers
This tool manages custom classifiers in textrazor, allowing users to create, update, and manage custom classification categories.
Analyze Dependency Trees
The dependencytreesaction analyzes the grammatical relationships between words in text by creating dependency trees. it provides detailed syntactic analysis by identifying the grammatical relationships between words and their parent words in a sentence. this tool is useful for: - understanding sentence structure - analyzing grammatical relationships - parsing complex sentences - supporting advanced linguistic analysis tasks
Dictionary Manager
The textrazor dictionary manager tool allows users to create, update, and manage custom entity dictionaries in textrazor. it provides endpoints for creating/updating dictionaries, listing dictionaries, getting a specific dictionary, and deleting dictionaries, as well as managing the entries within these dictionaries (adding, retrieving, and deleting entries).
Extract Entailments from Text
This tool extracts entailments from text using textrazor's api. it identifies words or phrases that can be logically inferred from the given text by analyzing logical implications and relationships.
Extract Named Entities from Text
Extract named entities (people, places, companies, etc.) from text using textrazor's entity extraction api. the tool will identify and classify named entities within the provided text, returning detailed information about each entity including its type, confidence score, and relevance score.
Extract Phrases from Text
The extractphrases action extracts meaningful phrases from input text using textrazor's phrase extraction capability. it analyzes text to identify important phrases and multi-word expressions that aid in tasks like content analysis, keyword extraction, and summarization.
Connect any two apps with Notis in the middle.
Gemini and Textrazor, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
Save your first hour today.
7-day trial of any paid plan, with 20$ of usage included.
No card. Works with personal or business Textrazor.