Vichara QDA is the best, most affordable qualitative data analysis software in India. It helps researchers, PhD scholars and students turn interviews, focus groups and field notes into insight: code transcripts, build a codebook, develop themes, and run publication-grade analyses.
From first read to final manuscript, in one clean workspace.
Bring in Word (.docx), PDF and text transcripts, or paste directly. Tag each case with attributes such as gender, age group or site.
Hierarchical parent and child codes with definitions, inclusion and exclusion criteria, anchor examples and your declared framework. Exchange with NVivo, ATLAS.ti and MAXQDA via REFI-QDA.
Select a passage and apply a code in one click. Overlapping codes, in-vivo coding, and starred key quotes for writing up.
The six phases of Braun and Clarke with a progress checklist, a themes workspace, and theme-level frequency, co-occurrence and matrices.
Frequency, co-occurrence, code maps, sentiment and emotion, framework matrices, evidence tables, word trees, retrieval and Cohen's kappa.
Editable Word and PDF reports, evidence tables, high-resolution PNG and vector SVG figures, and CSVs for Excel, SPSS and R.
Not a general chatbot pointed at your transcripts. Manan reads your protocol and your codebook, takes on a coder’s persona for your study, and is then measured against your own coding before you trust a word of it.
Your title, aim, objectives, methodology and codebook become a brief: a persona, your study’s vocabulary, and a rule for each group of codes saying what belongs and what is commonly mistaken for it. You can read and edit every word.
Manan writes practice passages in your study’s own register, codes them without seeing the answers, and scores itself — before it touches a single transcript.
Nothing is ever written into your data. Every suggestion lands in Review for you to accept or reject, one at a time, with the reason it was proposed.
Manan codes passages you have already coded, without being shown your answers, and the two codings are compared with Cohen’s κ and Krippendorff’s α — the same statistics you would use between two human coders. If it does not agree with you, the screen says so.
Measured on a real 402-code COM-B and TDF study: κ 0.62 with 82% of its codings accepted, coding at framework-domain level.
Vichara reads the project you have already coded and writes the two hardest sections of the paper — then shows you exactly what is still missing.
[[MISSING]] and listed as a prompt, never guessed. Download as Word, or the tables as CSV.Record your analytic approach, then code deductively against an established model. Applying one creates a theme per domain, with the domain definition as the coding rule.
A coverage table then shows which domains your data actually speaks to — and which have no evidence yet, which is a finding in itself. Each framework carries its original citation for your methods section.
A ten-module course in qualitative research — foundations, design, sampling, interviewing, coding, thematic and framework analysis, rigour, ethics and reporting. Worked examples, diagrams and flowcharts, a quiz you must pass in every module, and an assignment you complete in your own project.
Open the Academy →A workflow that stays out of your way.
Record your aim and objectives, then add your transcripts.
Highlight meaning and build your codebook as you read.
Group codes into themes and test the patterns.
Draft your Methods and Results from your own coded data, with tables and figures.
By default, your research data (documents, codes and memos) is stored only in your own browser and is never uploaded. If you choose to save a project to the cloud, that project is stored on our server so it is backed up across devices and can be shared with collaborators you invite. That choice is always yours, project by project.
Your account itself holds only your profile: name, email and institution. When you run an analysis, only the values needed for that calculation are processed in memory and discarded immediately afterwards; analysis inputs are never written to disk.
The things researchers ask us most.
Qualitative data analysis software built in India for researchers, PhD scholars, faculty and students. You import interview or focus group transcripts, code them, build a codebook, develop themes, run analyses, and export publication-ready tables and figures.
Your documents, codes and memos stay in your own browser unless you explicitly save a project to the cloud. Cloud projects are stored on our server so they survive a lost laptop and can be shared with your team. Analysis inputs are processed in memory and discarded; they are never written to disk.
Yes. Save the project to the cloud, then invite people by email or send an invitation link. Each collaborator can be an editor or a viewer, and Vichara flags a conflict if two people edit the same project so nobody's coding is silently overwritten.
Yes, directly. There is a six-phase checklist with space for your notes, a themes workspace for grouping codes, theme-level analysis, and a framework matrix for framework analysis in the Ritchie and Spencer tradition.
Yes. Have a second coder code the same documents using the same code names and export their project. Vichara computes Cohen's kappa per code and overall, with Landis and Koch strength bands, percentage agreement and a full disagreement breakdown you can export.
Import: Word (.docx), PDF, plain text, and pasted text. Export: Word and PDF reports, CSV for Excel, SPSS and R, REFI-QDA codebooks, high-resolution PNG and vector SVG figures, and a complete project backup file.
In your methods section, state the software used for data management and analysis, for example: "Transcripts were managed and coded using Vichara QDA (vicharaqda.in)." Reporting your framework, coding approach and reliability alongside it satisfies COREQ and SRQR expectations.
Get in touch about using Vichara in your department, workshops for research scholars, or anything that is not working as it should.
Email info@vicharaqda.in