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Rasa Paraphraser
What Rasa Paraphraser is
Rasa Paraphraser generates sentence alternatives intended to retain meaning while changing wording and structure. It was primarily made for data augmentation within the Rasa Open Source framework, though it can also be used for other paraphrasing needs. Its multilingual neural machine translation model comes from the Prism framework and includes changes designed to encourage diversity in generated text. 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 input files in bulk. Bulk input accepts Rasa NLU training data or CSV rows with a sentence and optional label; output can be Rasa NLU format or CSV and includes similarity scores. Command-line controls cover language, lexical diversity, n-gram penalties, beam search, and candidate count. A lightweight mode is described as around 2.5 times faster, with a possible effect on quality. Docker is required, with CPU and GPU container builds and runs documented. The tool is free and MIT licensed. The README warns that generated content may be offensive and is not currently filtered or detected.
Who it suits
Rasa Paraphraser suits users augmenting data for Rasa Open Source or handling other paraphrasing tasks. It is intended for people comfortable using a command line and Docker.
What it does well
- Supports interactive and bulk generation
- Bulk input accepts Rasa NLU data or CSV
- Bulk output includes similarity scores
- Command-line options control language and diversity
What to know first
- Requires Docker
- Only five languages are listed as tested
- Generated offensive content is not currently filtered or detected
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Rasa Paraphraser | MIT-licensed open-source tool · requires Docker | Free |
As github.com lists them, read 4 Oct 2026. The maker's own page has the final word.
Getting started
- Install Docker.
- Choose a CPU or GPU container build and run path.
- Run the tool interactively from the command line or provide an input file for bulk generation.
- For bulk work, provide Rasa NLU training data or CSV rows with a sentence and optional label.
- Choose an output format and adjust generation options as needed.
Verdict
Rasa Paraphraser offers configurable sentence generation in interactive and bulk workflows, with Rasa NLU and CSV formats. Docker is required, and the README warns that offensive output is not filtered.
Questions
Is Rasa Paraphraser free?
Yes. The tool is free and the repository includes an MIT license.
Which languages does it support?
The model supports 30 languages. The README reports testing in English, German, French, Spanish, and Russian.
What input and output formats are available?
Bulk input accepts Rasa NLU training data or CSV rows with a sentence and optional label. Output can be Rasa NLU training data or CSV and includes similarity scores.
Does it require Docker?
Yes. The README documents Docker installation and CPU and GPU container builds and runs.
Can it filter offensive generated text?
No. The README warns that it can generate offensive content and does not currently filter or detect it.
Facts from Rasa Paraphraser's own pages
- Content safety
- The README warns that the model can generate offensive content and says the tool does not currently filter or detect it. · github.com, 4 Oct 2026
- Deployment
- The README instructs users to install Docker and documents CPU and GPU container builds and runs. · github.com, 4 Oct 2026
- Feedback
- The README invites users to provide feedback. · github.com, 4 Oct 2026
- Founded
- 2016 · github.com, 28 Sept 2026
- Generation controls
- Command-line options control language, lexical diversity, n-gram penalization, beam search, and the number of candidate paraphrases. · github.com, 4 Oct 2026
- Headquarters
- San Francisco, United States, with engineering in Berlin, Germany · github.com, 28 Sept 2026
- Input formats
- Bulk mode accepts Rasa NLU training data or CSV rows containing a sentence and optional label. · github.com, 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. · github.com, 4 Oct 2026
- License
- The repository includes an MIT license. · github.com, 4 Oct 2026
- Model
- It uses a multilingual neural machine translation model from the Prism framework with diversity-promoting decoding changes. · github.com, 4 Oct 2026
- Output formats
- Bulk output can use Rasa NLU training data format or CSV, and includes similarity scores for generated paraphrases. · github.com, 4 Oct 2026
- Purpose
- It generates paraphrases of sentences that are intended to be semantically similar but lexically and structurally different. · github.com, 4 Oct 2026
- Quality option
- A lightweight mode is described as around 2.5 times faster, with a possible negative effect on generation quality. · github.com, 4 Oct 2026
- Run modes
- The tool provides interactive command-line use and bulk generation from input files. · github.com, 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. · github.com, 4 Oct 2026
Where Rasa Paraphraser stands on Freedom251
- AI Paraphrasing Tools#14 of 24