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Rasa Paraphraser

Rasa Paraphraser generates sentence alternatives intended to keep a similar meaning while changing wording and structure.

Place
#23 of 24
Score
5.8
Rasa Paraphraser's website

What Rasa Paraphraser is

Rasa Paraphraser generates sentence alternatives intended to keep a similar meaning while changing wording and structure. It was built primarily for data augmentation within the Rasa Open Source framework, though it can also serve other paraphrasing needs. Its multilingual neural machine translation model comes from the Prism framework and includes changes to encourage diversity in outputs. The model supports 30 languages, but the README says the tool has only been tested in English, German, French, Spanish, and Russian. Users can generate text interactively from the command line or process files in bulk. Bulk input accepts Rasa NLU training data or CSV rows with a sentence and optional label; output can use Rasa NLU format or CSV and includes similarity scores. Command-line settings control language, lexical diversity, n-gram penalization, beam search, and candidate count. Docker is required, with CPU and GPU container builds and runs documented. A lightweight mode is described as around 2.5 times faster, with a possible effect on generation quality. The tool is free and MIT-licensed.

Good

  • Supports a model covering 30 languages.
  • Offers interactive and bulk generation.
  • Bulk output includes similarity scores.
  • Command-line options adjust generation behavior.
  • Free and MIT-licensed.

Watch out

  • Requires Docker.
  • Only five languages are listed as tested.
  • Generated offensive content is not filtered or detected.
  • Lightweight mode may reduce generation quality.

Who it suits

It suits Rasa users augmenting training data, as well as people with other paraphrasing needs who can work with a Linux, self-hosted Docker setup. Users should account for the tool's limited testing record and lack of content filtering.

Verdict

Rasa Paraphraser offers command-line and bulk paraphrasing workflows, with controls for output diversity and candidate generation. Docker is required, and its README warns that offensive output is not filtered or detected.

Plans and prices

From Rasa Paraphraser's own pricing page, checked 4 Oct 2026.

All about pricing
PlanPriceWhat it gives you
Rasa ParaphraserFreeMIT-licensed open-source tool · requires Docker

The facts

Each one read from Rasa Paraphraser's own pages, with the date it was checked.

What it does

Content safety
The README warns that the model can generate offensive content and says the tool does not currently filter or detect it.checked 4 Oct 2026
Deployment
The README instructs users to install Docker and documents CPU and GPU container builds and runs.checked 4 Oct 2026
Feedback
The README invites users to provide feedback.checked 4 Oct 2026
Generation controls
Command-line options control language, lexical diversity, n-gram penalization, beam search, and the number of candidate paraphrases.checked 4 Oct 2026
Input formats
Bulk mode accepts Rasa NLU training data or CSV rows containing a sentence and optional label.checked 4 Oct 2026
Languages
The model supports 30 languages, but the README says the tool has only been tested in English, German, French, Spanish, and Russian.checked 4 Oct 2026
License
The repository includes an MIT license.checked 4 Oct 2026
Model
It uses a multilingual neural machine translation model from the Prism framework with diversity-promoting decoding changes.checked 4 Oct 2026
Output formats
Bulk output can use Rasa NLU training data format or CSV, and includes similarity scores for generated paraphrases.checked 4 Oct 2026
Purpose
It generates paraphrases of sentences that are intended to be semantically similar but lexically and structurally different.checked 4 Oct 2026
Quality option
A lightweight mode is described as around 2.5 times faster, with a possible negative effect on generation quality.checked 4 Oct 2026
Run modes
The tool provides interactive command-line use and bulk generation from input files.checked 4 Oct 2026
Use case
Rasa says it was primarily built for data augmentation inside the Rasa Open Source framework and can also be used for other paraphrasing needs.checked 4 Oct 2026

The company

Founded
2016checked 28 Sep 2026
Headquarters
San Francisco, United States, with engineering in Berlin, Germanychecked 28 Sep 2026

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