In Other Words: How to Paraphrase Text and Preserve Meaning, Names, and Numbers
In Other Words is a web tool that paraphrases source text while preserving meaning, names, and numbers. It runs in your browser: you paste text into the Your text or idea field, describe the desired tone, style, or format in the second field, choose the output language, and click the generate button. The result appears in a separate panel, from which you can copy it or download it as a plain TXT file. In this article, we will examine how the form works, how to craft prompts for typical tasks, and how to check the result so that names, numbers, and facts remain untouched. All examples in the article are fictional and provided for illustration only.
Open tool: AI paraphraser ↗How the form works and what to fill in
The In Other Words interface is extremely simple: two text fields and an output language selection. In the first field, Your text or idea, you paste the source material—a paragraph of a letter, a fragment of an article, a draft post. The second field, Tone, style or format, sets the frame: for example, formal business style, brief and friendly, plain words without terminology. After that, you select the output language and start generation. The finished text appears in a separate panel; you can copy it or download it as a simple TXT file.
It is important to consider the volume limits in advance: the first field accepts up to 8000 characters, the second up to 1000 characters. If the source text is longer, you will have to split it into parts and process them separately. The tool does not save generation history automatically, so it is better to copy the result immediately after receiving it. There are no settings, sliders, or preset styles in the form—all control is through the prompt text.
Separately, it is worth remembering that the model can make mistakes, and the queue and service availability may vary. Therefore, In Other Words is an assistant for draft text processing, not a replacement for an editor. Any result must be proofread manually, especially if the text contains names, numbers, dates, and legally significant wording.
Field 1: “The workshop starts on Monday and lasts three days.” Field 2: “Formal tone, Russian language.” Approximate result: “The seminar begins on Monday and lasts three days.”
Scenario 1: Paraphrasing a business letter
Suppose you received a short letter from a colleague and want to retell its content in a report in a more formal language. Paste the letter text into the first field, and in the second write: “Formal business style, without unnecessary emotions, preserve all dates, names, and numbers.” The tool will return a paraphrased version that can be inserted into the document.
Let the source text look like this: “Hi! Just a reminder that tomorrow at 15:00 there is a meeting with Ivan about the project. He asked to send the slides by the end of the day.” After processing with a request for a formal tone, the result might be: “I remind you that tomorrow at 15:00 there will be a meeting with Ivan about the project. He asked to send the slides by the end of the working day.” The meaning is preserved, the time and name remain in place.
After generation, be sure to compare the source and the result: whether the time 15:00 changed, whether Ivan turned into another name, whether a date disappeared. If the tool distorted a detail, correct it manually or refine the request in the second field. This example is fictional and provided for illustration only.
Prompt: “Paraphrase in a formal style, preserve all numbers and names.” Source text: “The workshop starts on Monday and lasts three days.” Approximate result: “The seminar begins on Monday and lasts three days.”
Scenario 2: Adapting text for social media
When a formal paragraph needs to be turned into a short post, the second field sets the desired frame: “Brief, friendly, without bureaucratese.” The source paragraph is pasted into the first field. The tool paraphrases it, preserving the meaning, but makes the wording livelier and shorter.
For example, source text: “Our company is launching a new product that will help save time.” After processing with a request for a brief friendly style, the result might be: “We launched a new product that will save your time!” Note: the tool does not add emojis and does not publish the post itself—the result must be copied and pasted into the social network manually.
Check whether important details were lost: product name, deadlines, conditions. If the source text had a number or a name, make sure they remain in the paraphrased version. Remember that the example is fictional and is not a real post.
Prompt: “Make it brief and friendly for social media.” Source text: “The workshop starts on Monday and lasts three days.” Approximate result: “The seminar starts on Monday and runs for three days!”
Scenario 3: Simplifying complex text
If you need to explain a complex technical or scientific fragment in simple words, use the prompt: “Explain in simple words, without terminology, for beginners.” Paste the source text into the first field. The tool paraphrases it, preserving the meaning, but simplifying the wording.
For example, source text: “Cognitive load increases with multitasking.” After processing, the result might be: “When we do several things at once, it becomes harder for the brain.” The meaning is preserved, but the wording has become more accessible. At the same time, the tool does not guarantee scientific accuracy, so facts must be verified against a reliable source.
If simplification led to a distortion of meaning, return to the source text and refine the request: add “preserve cause-and-effect relationships” or “do not simplify numbers and names.” Remember that the tool does not replace an editor and does not check facts.
Prompt: “Simplify for beginners.” Source text: “The workshop starts on Monday and lasts three days.” Approximate result: “The seminar will start on Monday and last three days.”
How to check the paraphrasing result
After generation, compare the source and paraphrased text on three points: names, numbers, and key facts. Make sure that all dates, amounts, company and people names remain unchanged. If the tool changed a number or a name, correct it manually—there is no automatic highlighting of changes in the interface.
Check whether the result contains statements that were not in the source text. The model may add extra details or generalizations. If this happened, remove them or rephrase the request by adding “do not add new information.”
Make sure the style matches the request. If you asked for a formal tone but got a conversational one, change the wording in the second field and generate again. Since history is not saved, copy the successful version immediately after receiving it.
Compare: source text “The workshop starts on Monday and lasts three days.” and approximate result “The seminar begins on Monday and lasts three days.”—numbers and meaning are preserved.
Tool limitations and typical mistakes
In Other Words works only with text: it does not upload documents, does not recognize text from images, does not generate audio and video. You should not expect functions from it that are not in the interface. All it does is paraphrase the entered text according to the specified style description.
Watch the limits: the first field—up to 8000 characters, the second—up to 1000 characters. If the text is longer, split it into parts and process them separately. Results are not saved automatically, so copy them manually or download them as TXT immediately after generation.
The model can make mistakes, and the queue and service availability may vary. Do not use the tool for critical tasks without manual verification. It is an assistant for draft work with text, not a replacement for a professional editor.
Attempting to paste text longer than 8000 characters will cause an error. Split the text into parts and process them separately.
In Other Words helps paraphrase text while preserving meaning, names, and numbers. We have examined how the form with two fields works, how to craft prompts for a business letter, social media, and simplifying complex text, and how to check the result. The main rule: clearly describe the desired tone in the second field and always verify names, numbers, and facts after generation. Remember the limitations: no batch processing, document upload, text recognition from images, or automatic saving. All examples in the article are fictional. Use the tool as an assistant for draft text processing, but leave the final proofreading to yourself.
Open tool: AI paraphraser ↗Interface translations are machine-assisted and may need refinement.