- Revenue
- $996K
- Customers
- 30
- Year founded
- 2010
- Funding
- $3.1M
- Team size
- 21
Top 50 Text Analysis Software Companies Under $1M Revenue (August 2026)
As of August 2026, Latka tracks 256 text analysis software companies under $1M in annual revenue. They have combined revenues of $119.3M and employ 1.2K people. They have raised $82.9M and serve 1M customers combined.
Every company below sells text analysis software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Text Analysis Software Companies do
Text Analysis Software refers to tools designed to extract meaningful insights from unstructured text data. By utilizing natural language processing and machine learning technologies, these software solutions enable businesses to analyze customer feedback, social media interactions, and other textual sources to identify trends, sentiments, and key themes. Primary use cases include customer experience enhancement, market research, and content optimization.
- Companies
- 256
- Revenue
- $119.3M
- Funding
- $82.9M
- Employees
- 1.2K
Filters
Sorting: Highest -> Lowest
Top Text Analysis Software Companies Under $1M Revenue
Showing 10 of 256 companies ranked by annual revenue.
France
We are a French-based early-stage startup developing a cutting-edge product on top of modern technologies. We aim at removing biases in the news industry, helping publishers and brands to combat misinformation. Facing the increasing exposure of the general public to misinformation and the resulting distrust in media, we ambition to act as a safe harbor for those companies. Our product helps publishers and brands understand what the content is made of – through content auditing and analytics – and provides them with all the actionable recommendations to improve their content production and business strategies.
- Revenue
- $994.1K
- Year founded
- 2019
- Funding
- $2.3M
- Team size
- 3
Bengaluru, Karnataka, India
Slideoo is a SaaS tool that allows users to create documents and presentations from text, PDFs, websites, and YouTube URLs in 2 minutes with real-time collaboration, giving analytics about shared files, saving hundreds of hours and increasing productivity
- Revenue
- $990K
- Team size
- 9
Hamburg, Germany
At nexamind we build complex RAG applications for companies. The biggest challenge is a robust & scalable way to extract data from unstructured PDF documents. That is why we crafted nexaPDF.
- Revenue
- $990K
- Team size
- 9
München, Bayern, Germany
Uniting Natural Language Processing & Business: We help clients to utilize internal data through anonymization or add external data through news monitoring and monitoring ESG activity. Based in Munich, Germany, we develop tools for high-end text analytics and maintain our own international business data (e.g. for smart lead generation and qualification). Here are a few points that we think differentiate us from others: * Key persons and all development based in Munich * Flexibility, speed and an executive team with overview and experience * Our text analytics comes with native support for German and English content * Transparency and realistic assessment from the beginning – no over-selling * Instead of hiding behind buzzwords, we demonstrate in practical terms how we can add true value
- Revenue
- $990K
- Year founded
- 2013
- Team size
- 9
Hamburg, Hamburg, Germany
smart data insights through automated content recognition automated fingerprinting, tracking, and analysis technology for broadcasters, content owner, government agencies, media monitoring companies, and start-ups based on cognitive computing technology
- Revenue
- $990K
- Year founded
- 2006
- Team size
- 9
Tunbridge Wells, Kent, United Kingdom
MRDC Software specialise in the supply of software products and services to the market research industry, we are an established company with offices in the United Kingdom and the Philippines. The MRDC culture is to provide you with right solution for your business. Every customer is different and we have a range of products and services, from basic to advanced, means that we can listen to your problems, ask questions and deliver what you need. We believe that having the right tools to succeed or the right services to provide exactly what is needed will make your business or your clients’ business much better. The Software MRDC sells both its own software and leading third-party products, to provide its clients with the best software available for data collection, analysis and reporting. MRDCL is acknowledged by many as the most powerful tabulation software for data processing professionals. MRDC acts as an agent for QPSMR, the end to end data processing software in Asia. MRDC is an official re-seller of Intellex's DataDynamic software and Snap Survey's online data collection and analysis platform. The newest additions to our software solutions are communities247 & listening247. communities247Ⓡ is a private online communities platform that enables business’ to reach out to and engage with 10s, 100s or even 1000s of their customers whilst listening247Ⓡ is a 3rd generation Social Listening & Analytics solution, and the only one that was developed specifically for the purpose of customer insights. MRDC can truly offer a one stop shop for all your research software needs. The Services MRDC offers a complete service for data analysis services, online survey scripting and management, automated reporting services and consultancy services, to assist with the management of complex projects. Management The company is owned and operated by Phil Hearn and Sonja Rose. Phil has worked in market research software and DP services for over 25 years and has been a regular speaker at conferences around the world. Sonja has specialised in pharmaceutical research analysis and DP operations.
- Revenue
- $990K
- Year founded
- 1993
- Team size
- 9
San Francisco, California, United States
We are on a mission to decipher language, which is the most complex type of data that ever existed. Dashbot is a data platform that ingests, cleans, stores, and processes any type of Conversation Data — such as from speaking to Alexa, talking to a customer service rep over the phone, or typing to a chatbot on a website. While virtually every other field/application of A.I. is trying to understand the world around us (e.g. computer vision), Dashbot is harnessing the power of Conversational AI to understand the world within us (i.e. intention). Dashbot is backed by world-class investors including ff Venture Capital, Bessemer Venture Partners, Scrum Ventures and Samsung.
- Revenue
- $990K
- Year founded
- 2020
- Team size
- 9
London, London, United Kingdom
Enterprises worldwide spend over $40Bn annually on manually extracting data from documents. This extraordinary sum represents hundreds of millions of human hours spent on tedious, grinding, soul-crushing work which is also slow and prone to errors. The incumbent technology, OCR (optical character recognition) has been around for decades. It’s simplistic, rule-based and performs poorly on many real-life documents. We founded Evolution AI in 2015 to solve that problem. Evolution AI revolutionised data extraction by building a deep-learning machine that closely mimics how humans read documents. Humans not only read characters off the page, we heavily rely on visual cues from graphic design (tables, font types and sizes, colours, bold/italic etc) and of course - on meaning and context. In AI terms, these translate to Visual Reasoning - a branch of computer vision that focuses on how objects visually relate to each other - and NLP (Natural Language Processing), dealing with meaning and semantics. In short, our AI weaves together text, vision and semantics to extract data from documents - just like humans do. Today we process over 1.5M pages per day for our clients. Our unique scientific approach enables us to automatically extract data from any type of document including the most complicated such as quarterly reports, balance sheets, P&L statements, account statements, invoices etc.
- Revenue
- $990K
- Year founded
- 2015
- Team size
- 9
Stellenbosch, Western Cape, South Africa
Callbi is a secure cloud based recorder agnostic software as a service speech analytics solution for contact centres. Callbi makes use of proprietary speech to text technology developed over a period of more than 15 years, and accurately transcribes and analyses South African English, Afrikaans, Sesotho and isiZulu, with other vernaculars under development. Callbi enables your organization to monitor and analyze a 100% of your customer calls, to ensure compliance, sales or collection effectiveness, operational efficiencies, and optimize customer experience. Callbi also enables your organization to maximize revenue, reduce costs and mitigate risks.
- Revenue
- $990K
- Team size
- 9
Frequently asked questions about Text Analysis Software Companies Under $1M Revenue
How many text analysis software companies under $1M in annual revenue are there?
Latka tracks 256 text analysis software companies under $1M in annual revenue. Together they generate $119.3M in annual revenue and employ 1.2K people.
Which text analysis software company under $1M in annual revenue is the largest?
Keatext is the largest, with $996K in annual revenue, founded in 2010.
How much revenue does a typical text analysis software company under $1M in annual revenue make?
The average text analysis software company in this list makes $465.9K a year, across 256 companies with reported revenue. They serve 1M customers combined.
Who are the leading Text Analysis software vendors under $1M in annual revenue?
Ranked by annual revenue, the leaders are Keatext, Buster.AI, Slideoo, nexaPDF and Glanos GmbH.
How much funding have text analysis software companies under $1M in annual revenue raised?
The 256 text analysis software companies under $1M in annual revenue tracked here have raised $82.9M in disclosed funding between them.
Related Analytics Tools & Software categories
Inclusion Criteria
- Must extract insights from unstructured text data - Should provide sentiment analysis capabilities - Must identify themes or topics within the text - Should include data visualization tools to present findings - Not just analytics; must also support actionable recommendations - Target users include marketing teams, data analysts, and customer service professionals - Should integrate with other data systems or platforms for comprehensive analysis