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AI Spectral & Chromatographic Analysis
Drop your data,
get a complete interpretation
TabedLab uses artificial intelligence to analyze UV-Vis, FTIR, NIR, HPLC and GC spectra — delivering peak detection, functional group assignment, database matching and a publication-ready PDF report in under 30 seconds.
Supported techniques
UV-Vis
Chromophore identification, λmax detection, Beer-Lambert analysis
FTIR / IR
Functional group assignment, fingerprint region matching
NIR
Quantitative analysis, multivariate calibration
HPLC
Peak integration, retention time analysis, purity assessment
GC
Component identification, chromatogram deconvolution
What you get in every analysis
DetectionPeak Detection & Interpretation
AI automatically identifies every peak and explains its chemical significance — e.g. "A band at 1715 cm⁻¹ corresponds to a C=O carbonyl stretch."
IdentificationFunctional Group Analysis
Identifies functional groups (carbonyl, hydroxyl, amine, aromatic ring…) based on spectral patterns, with a confidence score for each assignment.
MatchingDatabase Comparison
Compares your spectrum against curated reference databases to suggest candidate compounds and molecules, ranked by match confidence.
ExportScientific PDF Report
Generates a publication-ready PDF with annotated figures, a peak table, functional group summary and an interpretation narrative.
How it works — 3 steps
Upload your data file
Drag and drop your spectrum or chromatogram file. Accepted formats: CSV, Excel, TXT, PDF, PNG, JPG. No account required for your first analysis.
Select analysis type
Choose the technique that matches your data: UV-Vis, FTIR/IR, NIR, HPLC or GC. TabedLab auto-suggests the type from sample files.
Receive your full report
In under 30 seconds, get peak assignments, functional group identification, database matches and a downloadable PDF report.
About TabedLab
MissionDemocratizing spectral analysis
TabedLab makes AI-powered spectroscopy and chromatography accessible to every laboratory — from academic research groups to industrial QC labs. Our goal is to reduce the time between data collection and actionable insight from hours to seconds, so scientists can focus on discovery instead of manual peak picking.
Scientific ContextBuilt on peer-validated chemistry
Our AI is grounded in published spectral references (NIST WebBook, SDBS-AIST, PubChem) and standard chemometric methods (Savitzky-Golay smoothing, baseline correction, peak deconvolution). Every assignment includes a confidence score and the literature range it was matched against, so results are auditable, not opaque.
FounderObed Ducles — Chemical Engineer & Data Analyst
Founded by Obed Ducles, a chemical engineer with hands-on laboratory experience and a deep interest in machine learning for analytical chemistry. The platform was built to be the tool he wished he had during his own research — fast, transparent, and rigorously grounded in the science.
Read the full About page → Reference databases
Compound matching is performed against internationally recognized, peer-validated spectral reference databases:
NIST Chemistry WebBook SDBS — AIST (Japan) PubChem (NIH)
Your data stays private. Files you upload are processed in real time and are never used to train our models or shared with third parties. All transfers are encrypted (TLS 1.3). Enterprise and on-premise options are available for regulated environments. Read our privacy policy →Try a free analysis now
No account required. Upload a file or use one of our sample spectra (UV-Vis, FTIR, NIR, HPLC, GC) to see a full AI report in seconds.
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