以證據為依據，提供更佳的 FTIR 答案。
搜尋參考光譜、分析未知樣品、檢視排名候選項與特徵峰，並在實用的 FTIR 平台中整合光譜與文獻證據。
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.
搜尋參考圖書館驗證疑似材料
Start from a stated material hypothesis and check whether the FTIR evidence supports or refutes it.
驗證材料我的分析與結果
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從圖像和已發佈文獻中提取光譜曲線。
當您想要將圖表轉換為數值光譜並構建自己的可重用光譜數據庫時，請選擇自動提取、手動提取、人工處理或批次文獻提取。
將儀器檔案轉換為開放光譜數據 — 一個檔案、批次，或完全離線。
將支持的原生 FTIR 儀器文件轉換為 CSV、JCAMP-DX 或 JSON，同時保留可用的光譜數據、元數據和源資訊。在線單文件或批處理使用，或當文件需要保持在您自己的電腦或網絡上時選擇本地版本。
尋找為您的組織打造的 FTIR 工作流程。
大學、QC 實驗室、研發團隊、培訓機構、實驗室軟體公司與科學資訊平台對 FTIR 的使用方式各不相同。選擇您的組織，以瞭解現有成熟工具已能完成的功能、FTIR.fun 新增的功能，以及如何使用或整合它。
將統計差異轉化為科學解讀
保留重複測量與群組統計，然後將 PCA 或距離模式連結回變更的吸收帶、峰值差異及支持性文獻證據。
探索研究與學術領域
當樣品有所不同時，不要止步於 PASS/FAIL
使用合格歷史資料與統計比較來找出異常區域，然後深入進行峰值層級的解讀與調查證據分析。
探索 QC 證據
說明材料與配方演變時發生了哪些變化
將對照組、製程階段與配方變更放在一起，然後將光譜差異連結至可解釋的假設與領域特定證據。
探索研發與配方
圍繞真實光譜建立實用的 FTIR 培訓
讓學習者在查看參考說明與證據之前，先做出真正的分析判斷，並提供可重複使用的案例，可依您的課程或產業進行調整。
探索培訓與教育
無須自行建置即可導入 FTIR 專業能力
透過 REST、OpenAPI 或 MCP，嵌入參考資料搜尋、具證據支持的解讀、研究或 QC 脈絡、影像／PDF → 光譜，以及自訂 FTIR 結果。
探索實驗室平台
讓 FTIR 圖譜可計算且可比較
將已發表圖表轉換為數值光譜，保留 DOI 與圖表來源資訊，與實驗 FTIR 進行比較，並將峰值層級的證據帶入後續研究工作流程。
探索文獻平台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.
公開協助討論
Publish your FTIR question openly so researchers, peers, and spectroscopy specialists can review the spectrum, discuss interpretations, and offer insights without cost.