Find similar text across parsed documents
Compare two extracted passages and get a similarity score to guide a duplicate review.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Compute Text Similarity
Calculates the semantic similarity between two texts.
Why this helps
Repeated or overlapping information across documents is easy to miss when each parsed result is reviewed separately.
- Get a similarity score from 0 to 1 for two text passages.
- Use the score as a signal for deciding what needs a closer duplicate review.
- Keep both source passages visible with the result.
Setup
Build it in a few focused steps.
- 1Connect Airparser and Api Ninjas once in the Notis portal.
- 2Create an automation in Automations, New Automation, and name it for text comparison.
- 3In one instruction, ask Notis to compare the two supplied passages from the Airparser results and report the similarity score with both source texts.
- 4Choose the webhook trigger and send both passages in the request.
- 5Choose a report channel, then test with one pair of real passages.
Questions about this workflow
Does this automatically remove duplicates?
No. It returns a similarity score to support review; it does not delete or merge records.
What does the score mean?
The action returns a score from 0 to 1 based on semantic similarity. Use your own threshold or review process to decide what counts as a duplicate.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Airparser to Api ninjas. A trigger fires from one place; an action lands in another.
Airparser triggers
Api ninjas actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
Airparser and Api ninjas, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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