Systematic coding
for any dataset.
Upload a spreadsheet, PDF, or audio file. Define your codebook. Label every row through a focused, survey-style interface. Export clean, analysis-ready results.
No credit card required · Free during Open Beta
Source data
Social media use and adolescent mental health outcomes
Smith, J. et al.
2024
Coding form
Sentiment *
Topic *
From raw data to coded results
in three steps.
No setup wizard. No implementation consultant.
Step 1 · Upload your data
Import a CSV, Excel spreadsheet, PDF, or audio/video file. Lenselot handles all three source types in a single workflow.
Step 2 · Define your codebook
Build a reusable codebook with single-select, multi-select, free-text, or numeric codes. Or let AI suggest a starting point from your data.
Step 3 · Code and export
Label each row through a focused form interface. Navigate by keyboard or jump to any row. Export as Excel or CSV at any time — even mid-project.
Everything you need for rigorous
qualitative coding.
Built for researchers who care about methodology — not just throughput.
Dataset, document & multimedia coding
Upload spreadsheets (CSV, XLSX), PDFs, or audio/video files. All three source types work in the same project workflow.
Reusable codebooks
Build a codebook once and apply it across multiple projects. Single-select, multi-select, free-text, and numeric code types — each with a description shown during coding.
Focused, survey-style coding interface
Each row appears as a vertical card — no wide tables. Source fields are labelled and stacked; your coding form sits below. Navigate by keyboard or jump to any row directly.
Multi-coder workspaces
Invite collaborators to a shared workspace. Multiple coders can work on the same project concurrently, with configurable row overlap for reliability testing.
Inter-rater reliability (IRR)
Native Cohen's κ (kappa) and percent agreement per coding dimension, computed automatically. Export IRR statistics as CSV for reporting or publication.
Export at any time
Download coded output as .xlsx or .csv at any stage of the project. All original columns, plus one column per code, plus row status. No lock-in.
Also included
AI-assisted framework generation
Lenselot can analyse your dataset and suggest an initial codebook structure. You review and edit every suggestion — the AI never codes on your behalf.
Evidence search for documents
For PDF projects, semantic search retrieves relevant passages. Accepted passages are highlighted in the PDF viewer and tracked per row.
Calibration rounds
Run a calibration round before full coding begins. All coders label the same rows to align on the rubric before production coding starts.
Adjudication
When coders disagree, a designated reviewer sees all answers side by side and selects the authoritative code. Conflict queues surface automatically.
Simple pricing.
Free during Open Beta. Paid plans introduced after beta — early users notified in advance.
Free
during Open Beta
Everything included:
- Unlimited projects
- Dataset, document & multimedia
- Reusable codebooks
- Multi-coder workspaces
- IRR & calibration
- Export as Excel / CSV
- AI code suggestions
Paid plans will be introduced after the Open Beta. Early users will be notified in advance.
Frequently Asked Questions
Can't find an answer? Contact us for support.