Early Preview·This tool is in active development. Results may need verification.
Drop a spectral file and get instant AI-powered interpretation — compound classes, functional groups, and diagnostic peaks
Drop any spectral file into the tool. Your file is parsed entirely in the browser — the raw data never leaves your machine.
SpectralBench detects peaks, assigns functional groups, and runs co-occurrence pattern matching to identify compound classes — all automatically.
An AI model analyzes the peaks, assignments, and patterns to produce a structured interpretation with compound identification, key evidence, and next steps.
Functional group identification from mid-IR absorption bands. Identifies organics, polymers, minerals, and biological samples via characteristic vibrational modes.
Material identification from inelastic scattering. Excels at identifying polymers, minerals, carbon allotropes, and pharmaceutical compounds.
Electronic transition analysis for chromophores, conjugated systems, metal complexes, and biological molecules. Quantitative analysis via Beer-Lambert law.
Overtone and combination band analysis for moisture, protein, fat, and fiber content in food, pharmaceutical, and agricultural samples.
Emission spectrum analysis for fluorescent compounds, quantum dots, biological markers, and environmental contaminants.
The AI interpreter analyzes your spectrum across multiple dimensions to produce actionable results:
Privacy note: Your spectral file is parsed locally in your browser. Only extracted peak data (positions, intensities, and assignments) is sent to the AI model — the raw file is never uploaded. No data is stored after the request completes.
Want to identify peaks manually? FTIR Peak Identifier →
Need to match against reference spectra? Spectral Library Search →
Learning about infrared spectroscopy? FTIR Interpretation Guide →
SpectralBench parses your spectral file locally in the browser, detects peaks automatically, and identifies functional groups using a rule-based engine. The detected peaks, assignments, and co-occurrence patterns are then sent to an AI model that synthesizes a comprehensive interpretation — identifying likely compound classes, key diagnostic evidence, and suggested next steps.
The AI interpreter supports FTIR (infrared), Raman, UV-Vis, NIR (near-infrared), and fluorescence spectroscopy. Modality is detected automatically from your file's metadata and x-axis units. The AI's analysis is tailored to each technique — citing wavenumbers for IR/Raman and wavelengths for UV-Vis.
Your raw spectral file is parsed entirely in your browser — the file itself is never uploaded to a server. Only the extracted peak positions, intensities, and functional group assignments are sent to the AI model for interpretation. No spectral data is stored after the request completes.
SpectralBench reads 40+ spectral file formats including JCAMP-DX (.jdx, .dx), Thermo SPC, Bruker OPUS, Thermo SPA/SPG, Renishaw WDF, PerkinElmer SP, JASCO JWS, Horiba NGS/L6S, CSV/TXT, and many more. The format is detected automatically from the file extension and content.
The AI provides advisory interpretation based on detected peaks and established spectroscopic databases. It distinguishes between confirmed and tentative assignments and rates overall confidence. However, AI interpretation should always be verified against reference standards and complementary analytical techniques. It is not a substitute for expert spectroscopic analysis.
Yes, the AI spectrum interpreter is completely free. No account or registration is required. Anonymous users can make 5 interpretation requests per minute, and authenticated users get 20 requests per minute.
Automatic FTIR peak detection with functional group assignment and co-occurrence rules.
Identify materials, polymers, and minerals from Raman spectra with confidence scoring.
Match unknowns against reference spectra from open-access databases with HQI scoring.