AntConc is free concordance software.

The purpose of ATLAS.ti is to help researchers uncover and systematically analyze complex phenomena hidden in text and multimedia data. The program provides tools that let the user locate, code, and annotate findings in primary data material, to weigh and evaluate their importance, and to visualize complex relations between them.

Basis provides natural language processing technology for the analysis of unstructured multilingual text.

This online tool can be used for a wide variety of annotation tasks, including visualization and collaboration.

brat is designed in particular for structured annotation, where the notes are not freeform text but have a fixed form that can be automatically processed and "interpreted" by a computer. brat also supports the annotation of n-ary associations that can link together any number of other annotations participating in specific roles. brat also implements a number of features relying on natural language processing techniques to support human annotation efforts.

CHET-C, or Chapel Hill Electronic Text-Converter, is a software tool designed to convert digital texts that employ standard typographic editorial conventions into EpiDoc-compliant XML files. A series of regular expressions are applied to the source document and the results are placed into a “shell file” (i.e., a template), which can be customised in advance. The regular expressions are stored in a separate configuration file to permit customisation, but this file is generated from regular expressions embedded in the EpiDoc Guidelines source files.

CAT is an environment for coding and analyzing data sets, including computing inter-rater reliability. Users can create a free account, or download the ASP.NET tool suite to run independently.

A statistical natural language parser for analyzing text to determine its grammatical structure.

After creating a free account, users can submit requests for mining and analyzing JSTOR content. By submitting a query, a user will receive a random sample of 1,000 of JSTOR's 4.6 million documents; more documents can be received by contacting JSTOR directly. Users can choose to receive the following results:

• Citations Only (all requests come with citations by default)
• Word Counts
• Bigrams
• Trigrams
• Quadgrams
• Key Terms
• References

DiscoverText allows users to import data from a variety of sources (including Facebook & Twitter feeds, plain text, Word, Excel, public YouTube comments, blogs/wikis, PDF, etc.), code them, and generate tag clouds and reports.