Used and loved by millions
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com
raw text
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "raw text" is correct and usable in written English.
It can be used to refer to unprocessed or unformatted text data, often in contexts related to programming, data analysis, or text processing. Example: "The software requires the input to be in raw text format for proper analysis."
✓ Grammatically correct
Science
News & Media
Alternative expressions(7)
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
60 human-written examples
By the end of the term, my hard drive was littered with raw text files, Python scripts, and data visualizations.
News & Media
As offered on the data.gov.uk site, the data is, well, data – in raw text or spreadsheets, and not everyone will know what to do with it.
News & Media
Each pulls with equal weight and delivers the raw text with selfless commitment: Jennifer Davis, Emily Edmonds, Susanna Hurrell, Clare Presland, Gweneth-Ann Rand, Lucy Schaufer.
News & Media
The answer is that they provide more than just the raw text of the law.
News & Media
Riminder then tries to understand all your job positions and turn raw text into useful data.
News & Media
This paper proposes a systematic framework of transforming huge amount of raw text data into intuitive visualization.
The software is capable of estimating the most likely emotional affect in a raw text input.
The raw text is first split into words while removing all punctuation.
The analysis is executed on the raw text from the Wiki pages.
The litany layer is interpreted as the raw text data, 'what the text says'.
As the network is trained from raw text no information is lost in constructing features.
Science
Expert writing Tips
Best practice
When working with data analysis or programming, clearly specify that you need "raw text" to ensure the correct input format is used. This avoids misinterpretations about the presence of formatting or metadata.
Common error
While "raw text" and "plain text" are often used interchangeably, be mindful that "raw text" can sometimes imply a lack of pre-processing steps, whereas "plain text" primarily refers to the absence of formatting. Using "raw text" when only "plain text" is necessary might overcomplicate the context.
Source & Trust
83%
Authority and reliability
4.5/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "raw text" functions as a noun phrase, typically used as an adjective to describe the state of text data. According to Ludwig AI, it denotes text that is unprocessed or unformatted. Examples in Ludwig's data show it used in contexts related to programming and data analysis.
Frequent in
Science
60%
News & Media
30%
Formal & Business
10%
Less common in
Encyclopedias
0%
Wiki
0%
Reference
0%
Ludwig's WRAP-UP
In summary, "raw text" refers to unformatted, unprocessed textual data, predominantly used in scientific and technical contexts. Ludwig AI confirms its grammatical correctness and frequent usage across various domains. The phrase is valuable for specifying the state of text data, especially in programming and data analysis. Alternatives such as "plain text" and "unformatted text" offer similar meanings but might vary subtly in specific use cases. Understanding the nuances of "raw text" allows for more precise communication in technical discussions and writing.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
Plain text
Emphasizes the simplicity and lack of formatting.
Unformatted text
Highlights the absence of any specific formatting or styling.
Unprocessed text
Focuses on the lack of prior processing or manipulation of the text.
Original text
Emphasizes the text being in its initial, unaltered state.
Source text
Refers to the text as the origin or foundation for further analysis or modification.
Crude text
Suggests a lack of refinement or sophistication in the text.
Unedited text
Highlights that the text has not been subjected to any editing or revision.
Initial text
Emphasizes the text being at the beginning stage of a process.
Preliminary text
Similar to initial text, preliminary text emphasizes the text being at the beginning or preparatory stage.
Basic text
Emphasizes the fundamental or essential nature of the text.
FAQs
What is "raw text" and how is it different from other types of text?
"Raw text" refers to text data in its most basic, unformatted state, without any styling, markup, or metadata. It differs from formatted text, such as HTML or rich text, which includes additional information about the text's appearance and structure.
How can I extract "raw text" from a document?
Extracting "raw text" depends on the document format. For example, you can use programming libraries to extract text from PDFs, strip HTML tags from web pages, or simply open a .txt file. The goal is to obtain the text content without any formatting or markup.
What are common uses for "raw text" in data analysis?
"Raw text" is commonly used as input for various data analysis tasks, such as natural language processing (NLP), text mining, and sentiment analysis. It often requires preprocessing to clean and prepare the text for analysis.
Which tools can I use to process "raw text"?
Various tools and libraries can be used to process "raw text", including Python's NLTK and SpaCy, as well as command-line tools like grep, sed, and awk. These tools can help with tasks like tokenization, stemming, and filtering.
Editing plus AI, all in one place.
Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
83%
Authority and reliability
4.5/5
Expert rating
Real-world application tested