Only ten years ago, editing, writing, or analyzing text required hours of painstaking work, and journalists and copywriters spent a lot of time creating quality content. Today, artificial intelligence can significantly simplify these processes. Neural networks for text processing can help write articles, improve style, analyze large amounts of data, adapt the tone of the text to its audience, and even check the uniqueness of the content.
The popularity of such tools is growing rapidly, and it is not surprising. They allow you to create texts faster, minimize grammatical errors, and sometimes generate ideas even experienced authors might not have thought of. But at the same time, the question arises: can these technologies completely replace copywriters, or are they just assistants that help simplify the process of content creation?
Another important aspect is choosing the right neural network for your business. There are many solutions on the market for various needs, from generating marketing texts and conversational AI to detecting plagiarism or automated article summaries.
In this article, we will do a deep dive into the most popular AI text processing software, its advantages and disadvantages so that you can make an informed decision. If you need a consultation on Gen AI development or adoption, please fill out the form, and our team at DATAFOREST will contact you shortly.
Who are AI tools for text processing intended for?
Neural networks for text processing are now used not only by copywriters and journalists. Thanks to their capabilities, they have become useful for many professions across different industries.
Copywriters and content makers
AI tools help simplify the routine for specialists who work with texts every day. They can use these tools to improve style, structure their thoughts, avoid repetitions, or generate ideas for articles and creative campaigns. They are also helpful for SEO specialists, allowing them to optimize content for search engines.
Marketers and advertising specialists
AI platforms can create advertising texts, slogans, and letters for email newsletters and adjust the content format for different platforms. This allows marketers to save time and quickly test different message options, which leads to better campaign outcomes and KPIs.
Researchers and analysts
AI can help researchers working with large volumes of data automatically summarize articles, analyze reports, or structure data. This is especially useful in the scientific field, finance, and business analytics.
Businesses in various industries
From e-commerce and retail to insurance and healthcare, companies can use AI tools to write reports, create or summarize documents, and automate communications. This helps save time and boost team productivity.
Benefits of using AI tools
According to a survey by Gartner, 77% of marketers who have adopted GenAI use it for creative development tasks and copywriting.
This means that neural networks are no longer just an experimental tool but an important part of the creative workflow. They help writers create texts faster and better, saving hours of work. Let’s review a few of the main advantages of these tools.
Speed and efficiency
What used to take hours can now be done in minutes. Neural networks can write a draft of an article, adapt text for different platforms, or generate several headline options almost immediately.
Quality and accuracy
AI tools trained using data annotation and data preprocessing can analyze text structure, correct grammatical errors, and change wording. This is especially useful for professionals who are concerned about maintaining high-quality content.
Creativity and inspiration
Even the best writers sometimes encounter creative blocks. AI can be a source of ideas, offer unique options for presenting information, or find non-standard approaches to writing an article.
Uniqueness checkers
Thanks to deep learning models, many AI tools can analyze texts for plagiarism, AI, or factual errors, helping to create reliable and original materials.
Tailoring text to different audiences
Neural networks can help adjust the style of marketing text, blog articles, or technical documentation to a specific audience and communication channel.
Top tools for copywriting
Recall
Recall is an AI tool designed for efficient information and knowledge management. It allows users to quickly create short summaries of any online content — from articles and blogs to YouTube videos and podcasts — and store them in a personal knowledge base. It is designed to address the challenge of information overload by transforming how users interact with and recall digital content.
Pros:
- automatic content summarization and categorization;
- fast information extraction;
- offline access;
- full data ownership and reliable security.
Cons:
- poor mobile experience;
- no ability to import data from other bookmark services in JSON or Markdown formats;
Pricing: free plan includes 10 personal notes. Plus plan at $10/month.
Client Ratings: 4.0/5 on ProductHunt.
Coral AI
Coral AI is an AI-powered platform designed to analyze and process documents faster. It allows users to quickly summarize docs, find the information they need, translate, transcribe, and extract quotes from the files in seconds. Coral AI supports over 90 languages, making it a versatile tool for working with a variety of documents.
Pros:
- works in 90+ languages;
- allows to search key info within documents;
- summarizes long documents in seconds;
- saves 10-15 hours per week;
- transcribes audio files;
- allows you to extract quotes from documents.
Cons:
- a relatively new platform and bugs may occur.
Pricing: free plan allows users to upload 2 files. Executive plan at $14/month.
Client Ratings: no info.
Otio
Otio is an AI-powered platform designed to enhance research and writing processes for writers. It offers a suite of tools aimed at simplifying complex tasks, automating workflows, and providing deeper insights into various content forms. It helps users quickly extract key information from various sources such as articles, documents, and videos. Using advanced AI models such as GPT-4, Claude 3.5, and Mistral, Otio enables efficient interaction with large amounts of data. It also offers an AI-powered text editor to fine-tune, paraphrase, and edit the writing.
Pros:
- allows users to import various content types, including PDFs, Word documents, web links, and YouTube videos
- AI text editing and proofreading;
- automates complex research workflows;
- AI chat with the documents to extract key insights.
Cons:
- privacy and data concerns;
- limited text editing features.
Pricing: free plan available; Unlimited plan at $20/month.
Client Ratings: 3.9/5 on Trustpilot.
Undetectable AI
Undetectable AI is an AI detector and text humanizer. It also offers features like an AI plagiarism checker, essay writer and rewriter, paraphraser, SEO content writer, and automated text typer. It identifies AI-generated content by analyzing writing structure, syntax, and style. It offers features to humanize text, making it suitable for writers, bloggers, researchers, and creators looking to maintain the originality of their texts.
Pros:
- evaluates text to identify AI generation, providing scores from major AI detectors like GPTZero, OpenAI, and CopyLeaks;
- transforms AI-generated content into natural, human-like writing;
- available in English and French languages.
- API for seamless integration into existing workflows to automate content humanization processes;
- best AI detector, according to Forbes.
Cons:
- requires proofreading as it can change the text structure and rephrase it in the wrong way;
- humanized content may still require additional editing to meet quality standards.
Pricing: free trial available; subscription from $19/month.
Client Ratings: 3.6/5 on Trustpilot.
LLaVA
LLaVA (Large Language and Vision Assistant) is an advanced multimodal large language model. It integrates visual and textual data to enhance the model's ability to understand and generate human-like responses based on visual inputs. Using pre-trained models, it follows complex visual instructions to interpret and respond to queries about images. By combining language and vision capabilities, it can perform tasks that require understanding both textual and visual information, such as image captioning and visual question answering.
Pros:
- can process high-resolution images;
- suitable for a wide range of applications, including education, content creation, and interactive AI systems.
Cons:
- users have reported issues when the model processes multiple images in a single conversation;
Pricing: it’s an open-source project, and its code and models are available for free on GitHub.
Client Ratings: no info.
TextFX
TextFX is a free AI platform for content creation powered by Google's Gemini model. It leverages the advanced PaLM 2 large language model. Designed for creative professionals and writers, TextFX provides 10 tools to stimulate creativity and expand the writing process.
Pros:
- focused on creative writing;
- all features are free;
- 10 tools in one platform;
- can be used to brainstorm creative ideas for content creation.
Cons:
- it can generate outputs that users don't expect, including text that's offensive, insensitive, or factually incorrect.
Pricing: TextFX is available for free.
Client Ratings: no info.
Summarize.tech
Summarize.tech is an AI-powered tool for creating summaries from YouTube videos. It enables users to review all important information without watching the entire video.
Pros:
- AI-powered summarization to extract key points from videos;
- summarizes various types of videos, including academic lectures, live events, government meetings, interviews, and documentaries.
Cons:
- it doesn’t always understand the context of the video, resulting in an inaccurate summary;
- the interface is not user-friendly and can be enhanced;
- supports only YouTube videos.
Pricing: free version available; Premium plan at $10/month.
Client Ratings: 4.8/5 on ProductHunt.
Copyleaks
Copyleaks is a plagiarism and AI-generated content detection platform. It uses artificial intelligence to identify similar and identical content in various formats, serving businesses, educational institutions, and individual users worldwide.
Pros:
- a single platform for both plagiarism and AI content detection;
- differentiates between human-written and AI-generated content;
- 99% accuracy;
- detects AI-generated content in 30 languages, with a 0.2% false positive rate.
- offers not only plagiarism detection but also automatic paraphrasing checking, AI-generated code detection, and copyright compliance.
Cons:
- slow scanning;
- limited integrations.
Pricing: limited free plan; AI + plagiarism checker at $16.99/month.
Client Ratings: 4.4/5 on Software Advice.
Advego Plagiatus
Advego Plagiatus is an online service designed to check the uniqueness of texts, identify plagiarism and duplicates. It uses special AI algorithms to search and detect plagiarism. The result can be recorded to confirm copyright and shared for public access. It is widely used by copywriters, editors and marketers.
Pros:
- highlights the parts of the text that match sources on the Internet and provides links to these sources;
- provides API;
- supports 7 languages.
Cons:
- limited free plan;
- old natural language processing models and neural networks;
- no pricing details on the website.
Pricing: free plan available. No pricing details on the website.
Client Ratings: 4.0/5
AI tools comparison table
Closing Remarks
In this article by DATAFOREST, we reviewed 9 AI tools for text processing that can be used by copywriters, marketers, researchers, and enterprises to improve content creation.
AI allows you to significantly speed up the creation of texts, which previously required hours of hard work and can now be done in a matter of minutes. For example, tools like Coral AI and Otio allow you to quickly analyze documents, summarize them, and find important information in seconds. They ensure high accuracy and quality, eliminating grammatical errors, improving text structure, and adapting it to a specific audience. Most of these tools use text analysis, classification, recognition, and segmentation models.
At the same time, these tools can boost creativity and inspiration. AI can suggest new ideas for articles, slogans, or marketing campaigns. Many tools, such as Undetectable AI, provide features that allow not only to check the uniqueness of content, but also to make even a technical AI-generated text look natural and human-like.
Of course, one of the biggest disadvantages of such tools is the need for additional editing of texts after using AI. For example, tools like Undetectable AI may not always correctly change the structure of the text, which requires additional proofreading. Also, not all tools provide perfect accuracy when checking for plagiarism.
AI tools for text processing are powerful assistants in the process of creating content, improving its quality and creativity. Like any technology, these tools are not flawless and require human intervention to achieve the best results.
Using AI for copywriting isn't just a trend but a real way to optimize processes and improve the quality of content. All that remains is to find a tool that will meet your tasks. DATAFOREST, as a tech vendor, can help you with that. Book a call with our team to learn more.
FAQ
What is the difference between neural networks for text generation and text analysis?
Text generation neural networks are used to generate new content. Text analysis neural networks are used for text classification and semantic search.
How to reduce neural network inference time when processing long texts?
You can reduce neural network inference time by using simplified models or dividing text into smaller parts and processing in stages.
How to choose a neural network to process long texts with multiple entities?
It’s better to use models designed for long contexts, such as Longformer or BigBird.
What are some ways to optimize neural networks for text processing?
Techniques include model pruning, knowledge distillation, and quantization. For example, with quantization, you reduce the precision of the numerical values of the weights, speed up calculations, and reduce memory consumption.
How to reduce resource consumption when working with neural networks for text?
You can use optimized models like DistilBERT, ALBERT, or TinyBERT, deploy models on specialized hardware (TPUs or GPUs), and implement caching for repeated queries.
Which model should you choose for text spam detection?
You can choose BERT or RoBERTa. Both are good for text analysis due to their ability to take context into account and detect spam.
What is the neural network that is most accurate in determining the context of polysemous words?
Contextual models like BERT, RoBERTa, and GPT-4 understand word meaning based on surrounding text and can distinguish between the meanings of multiple-meaning words.
.svg)
