以证据为依据，提供更优质的 FTIR 答案。
Search reference spectra, analyze unknown samples, inspect three-axis evidence chains, and choose the deployment model that fits your lab — from local offline buyouts to cloud subscriptions and LIMS API integration.
Classic reference library search, delivered in the format your lab needs.
Search across 320,000+ authoritative reference spectra with fast multi-channel retrieval. Whether your lab requires offline local installation, flexible on-demand subscriptions, or seamless LIMS API integration, FTIR.fun fits your operational reality.
One-time Buyout & Local Installation
Designed for traditional analytical instrument habits, defense research, university core facilities, and confidential intranets. Runs completely offline on local workstations with a perpetual buyout license, zero cloud data transfer, and zero leakage risk.
- Perpetual buyout license with offline machine activation
- Zero internet connection required; data stays 100% on premise
- Native desktop converter with high-speed local library search
Subscription & Pay-as-you-go
Tailored for low-frequency testing, individual research groups, and lean laboratories. Avoid heavy upfront capital software expenses. Pay only for what you analyze via on-demand credits or flexible monthly and annual subscriptions.
- No expensive upfront hardware or monolithic software barrier
- On-demand pay-per-spectrum credit or flexible subscription plans
- Instant access to continuously updated 320,000+ reference spectra
REST API, OpenAPI & MCP Integration
Seamlessly embed spectral library retrieval and peak-evidence interpretation into your existing LIMS, ELN, instrument software, or scientific AI Agents. Standardized endpoints enable automated batch analysis and transparent data pipelines.
- Direct REST API and Model Context Protocol (MCP) integration
- Automated unknown spectrum parsing, matching, and logging in LIMS
- Batch processing throughput for high-volume quality and R&D labs
Results that explain the spectrum, not just rank match scores.
Traditional FTIR software outputs an isolated similarity score, leaving you to guess whether subtle differences invalidate the candidate. FTIR.fun provides an evidence-backed Three-Axis analysis framework that couples candidate retrieval, material family direction, and literature-backed peak attribution into a verifiable scientific conclusion.
How FTIR.fun turns spectral raw curves into audit-grade scientific conclusions
Each axis is independently evaluated and cross-checked against strict numerical gates to prevent false-positive identification.
Axis 1: Strict 80% Coverage Gate & Candidate Retrieval
A reference spectrum must cover at least 80% of the sample's valid analytical range to enter final ranking. Multi-channel Pearson and Cosine algorithms across original and derivative curves eliminate false high scores from narrow overlapping windows.
Axis 2: Material Direction & Confidence Classification
Scientific conclusions are kept distinct from retrieval similarity. Strict numerical lead-gap gates govern whether evidence confirms a specific entity, identifies a reliable material family, or honestly highlights an unresolved sample.
Axis 3: Peak Attribution & Traceable Literature Evidence
Every characteristic peak is mapped to functional groups and specific chemical bond vibrations, linked directly to peer-reviewed literature with traceable DOIs, and explicitly notes supporting bands, abnormal regions, and unresolved conflicts.
Free users contribute to open science. Paid users enjoy strict privacy.
We maintain clear, uncompromised boundaries between open academic sharing and confidential commercial research. You know exactly what happens to your data before you submit a spectrum.
Contribute to the Global Spectrum Library
For students, academic researchers, and non-confidential investigations who want free reference matching while helping the scientific community.
- 100% free reference library search across all supported instrument formats
- Valid sample background information required to prevent low-quality spam
- Submitted spectra and background details incrementally enrich the open community library
- Ideal for academic sharing, educational samples, and peer discovery
Strict Confidentiality, Isolation & Zero Model Training
For corporate R&D, commercial testing, QC labs, and confidential intellectual property protected by NDAs and trade secrets.
- Dedicated private data channel: never published to the public library
- Strict guarantee: customer spectra are never used to train AI models
- Commercial NDA and trade-secret compliance fully guaranteed
- Available for air-gapped local offline deployment with zero network transfer
Quick tools for spectrum search, verification, and history.
Access standalone reference search, hypothesis checking, past analysis history, and library domain coverage directly.
Find Reference Spectrum
Search by chemical name, CAS number, formula, or spectrum ID across 320,000+ reference records.
搜索参考库验证疑似材料
Start from a stated material hypothesis and check whether the FTIR evidence supports or refutes it.
验证材料我的分析与结果
Review candidate matches, characteristic peaks, supporting literature, and audit trails for past jobs.
Review analysis historyLibrary Domain Coverage
Inspect reference library depth across polymers, organic chemicals, minerals, coatings, and solvents.
Browse domain coverage从图像和已出版文献中提取光谱曲线。
在您想要将图形转换为数值光谱并构建自己的可重复使用的光谱数据库时，选择自动提取、手动提取、人工处理或批量文献提取。
将仪器文件转换为开放光谱数据 — 一个文件、批量或完全离线。
将支持的原生 FTIR 仪器文件转换为 CSV、JCAMP-DX 或 JSON，同时保留可用的光谱数据、元数据和源信息。使用在线方式处理单个文件或批次，或在文件需要在您自己的计算机或网络上保留时选择本地版。
查找为您的组织构建的 FTIR 工作流。
大学、QC 实验室、研发团队、培训机构、实验室软件公司和科学信息平台对 FTIR 的使用方式各不相同。选择您的组织类型，了解现有成熟工具的功能、FTIR.fun 所增加的能力，以及如何使用或集成它。
将统计差异转化为科学解读
保留重复样本及组统计数据，然后将 PCA 或距离模式与发生变化的谱带、峰差异及支持性文献证据关联起来。
探索研究与学术
当样品存在差异时，不要止步于 PASS/FAIL
利用合格历史数据和统计比较找出异常区域，然后继续进行峰级解读，并为调查提供证据。
探索 QC 证据
解释材料和配方演变过程中发生了什么变化
将对照样、工艺阶段和配方变化集中管理，然后把光谱差异与可解释的假设及领域特定证据关联起来。
探索研发与配方
围绕真实光谱构建实用的 FTIR 培训
让学习者在查看参考解释和证据之前，先作出真正的分析判断；提供可复用的案例，可根据您的课程或行业进行调整。
探索培训与教育
无需自行构建即可获得 FTIR 专业能力
通过 REST、OpenAPI 或 MCP，嵌入参考文献检索、有证据支持的解读、研究或 QC 语境、图像/PDF → 光谱以及自定义 FTIR 结果。
探索实验室平台
让 FTIR 图谱具备可计算性和可比性
将已发表图表转换为数值光谱，保留 DOI 和图表来源信息，与实验 FTIR 进行比较，并将峰级证据传递到后续研究工作流中。
探索文献平台Need help with a difficult case? Choose open discussion or human support.
These are independent options designed for different data sensitivity levels. You can discuss non-confidential cases openly with peers, or commission a dedicated manual service from the FTIR.fun expert team under full confidentiality.
公开帮助讨论
Publish your FTIR question openly so researchers, peers, and spectroscopy specialists can review the spectrum, discuss interpretations, and offer insights without cost.