录音识曲准备就绪
让麦克风听见正在播放的音乐
用手机或扬声器播放歌曲，录制 12 秒后自动识别。
首次使用需要允许麦克风访问。是你要找的歌曲吗？
- 1播放音乐在手机或扬声器上播放歌曲
- 2录制 12 秒让麦克风捕捉清晰的音乐
- 3核对歌曲试听并确认候选结果
音频仅临时处理，本站不保存录音；音频指纹会发送至网易云进行匹配。 了解音频如何处理
简体中文
行动优先的找歌入口
Hum to Search：通过哼唱、歌词或视频片段找歌
根据你现在手上的线索开始。这个页面会把你引导到最快的测试路径：哼唱、歌词检索、实时音频识别或视频片段找歌。
选择你现在掌握的线索
最佳下一步
搜准确的原句，不要意译
只要你还记得一句可靠歌词，按歌词找歌通常比哼唱更快。把原句加上引号，再去歌词站核对歌手。
- 使用你记得最准确的那句歌词，并加上引号。
- 确认副歌内容和歌手信息后再下结论。
- 如果第一个歌词库结果弱，就换第二个来源交叉验证。
最佳下一步
我记得一些歌词 · 查看解决步骤
备选方案
打开 Musixmatch
当你记得的歌词比旋律更清楚时，歌词搜索通常比哼唱更有效。
最佳下一步
先把片段处理干净，再去搜索
视频里的对白和音效经常会淹没副歌。先截出最干净的一段，再走面向视频的识别流程。
- 先找出对白最少、最干净的 5 到 15 秒片段。
- 不要强行用普通哼唱识曲，直接走视频片段流程。
- 如果自动匹配失败，就把处理后的片段交给社区型工具。
最佳下一步
打开视频识别流程
备选方案
使用 WatZatSong 备选方案
视频场景识别失败，通常是因为源音频太杂，不是因为你记错了歌。
选择下一步找歌方法
根据遇到的问题，查看对应的录音、设备或线索指南。
当前最值得先试的选项
如果你的目标就是通过哼唱找歌，这些是最适合先尝试的路径。首页优先展示低摩擦、高命中率的路线，而不是让你先读完一个长目录。
我们如何测试这些路径
这个首页不是泛目录，而是只保留能快速解决真实线索的路径。
先看真实线索
每条路径都从你现在真正掌握的信息出发：旋律、歌词、实时音频或杂音很多的片段。
最快得到答案优先
工具排序看的是得到答案的速度和上手成本，而不是功能表看起来多厉害。
失败条件会保留在页面上
如果某条路径在桌面端、噪音环境或纯哼唱上表现弱，这个限制会明确写出来。
为什么哼唱识曲会失败
输入、歌曲版本和工具能力都可能影响匹配。本站当前更适合原曲录音，不能把哼唱失败都解释为用户唱错。
你哼的是不够典型的段落
主歌往往更难匹配。越有记忆点的副歌，模型越容易抓到旋律轮廓。
片段噪音太多
对白、人声杂音或糟糕的录音会掩盖识别工具需要的旋律形状。
你走错了路径
歌曲正在播放时，先录制原曲识别；视频杂音较多时，先选出更清晰的片段。
你只看了第一个候选结果
第一条结果不一定就是对的版本。保存前先核对歌手、副歌和版本。
离开页面前先看这几个快答
这四个问题通常决定你应该先走哪条路径。
我可以对着 Google 哼歌来找歌吗？
可以。打开 Google App，点麦克风并进入“搜索歌曲”，把副歌最清楚的部分哼唱 10 到 15 秒，然后比较几个最可能的候选结果。
桌面端最好用什么？
电脑上可以用上方工具录制正在播放的原曲，或选择音频文件。只有哼唱时，也可以在手机上使用 Google 或 SoundHound。
为什么哼唱识曲会返回错歌？
噪音、不同版本或只有旋律的录音都可能导致错配。请核对歌手并试听，不要把候选结果当作确定答案。
如果歌曲出现在视频里怎么办？
可用另一台设备播放清晰片段再录音，或先看视频指南。音频文件至少需要 10 秒；本站暂不支持视频上传和链接解析。
拿到第一轮答案后，再看更多工具和指南
先试最快路径，只有在你需要备选、平台特定方案或边缘场景流程时，再继续看下方目录和博客。
在线哼唱识曲与语音识曲工具
发现高效的在线哼唱识曲与语音识曲工具，无需安装应用，即可在浏览器中通过哼唱、清唱或口哨快速定位歌曲。
Google Hum to Search
Google Hum to Search uses machine learning to match your hummed melody against large music catalogs in seconds. It is especially useful when you cannot remember the artist name or exact lyrics. This tool is ideal for quick “what is this song” moments and often returns multiple likely matches you can verify immediately.
AHA Music AHA Music：浏览器扩展识曲
AHA Music focuses on browser-based song recognition and is convenient for identifying music heard in online videos, streams, and web pages. The Chrome extension workflow is straightforward and requires minimal setup. Choose AHA Music when your main use case is detecting songs playing in your current tab rather than humming into a phone app.
ACRCloud
ACRCloud provides enterprise-grade audio fingerprinting and music recognition APIs that power many consumer applications behind the scenes. It supports robust matching in noisy environments and offers metadata enrichment for identified tracks. Use ACRCloud when you need scalable recognition infrastructure or want to integrate hum and audio identification features into your own product.
WatZatSong WatZatSong：社区协作识曲
WatZatSong is a community-powered song identification platform where users upload clips, hum recordings, or partial audio and get help from other music fans. It works well when algorithmic tools fail, especially for rare tracks, remixes, or low-quality recordings. Use it as a fallback channel for difficult cases where human pattern recognition can outperform automated matching.
Google 强大的 Hum to Search 与识曲能力
了解 Google 的哼唱识曲生态，包括 Google Hum、Google 助理语音识曲与 App 内识曲入口，快速完成 AI 辅助找歌。
Google Hum to Search Guide 如何使用 Google 的 Hum to Search 功能
This official Google guide explains how Hum to Search works and why melody contours can be matched even without perfect vocals. It is the best starting point for understanding feature behavior, expected confidence levels, and result interpretation. Read this first if you want to use Google’s humming recognition more effectively and set realistic expectations.
Google Assistant Song Search Google 助理：“这是什么歌？”语音命令
Google Assistant can identify songs by voice command, making hands-free music discovery simple on phones and smart devices. In practice, users can ask what song is playing and then compare candidate matches instantly. Use this option when audio is playing in your environment and you want the fastest voice-first identification flow.
Google App Song Search Google 搜索小组件识曲
The Google app provides a direct path to song identification through built-in search and microphone entry points, including convenient widget access on many Android devices. It is useful for users who want one-tap music recognition without opening multiple apps. Prefer this route for everyday, mobile-first song discovery with low friction.
歌词与文本找歌：当你只记得歌词时
当旋律记不清时，也可通过歌词与文本检索快速识别歌曲，利用片段歌词、引号短语和上下文关键词提高匹配效率。
Genius 常用歌词搜索引擎与数据库
Genius is a leading lyrics platform with extensive annotations, artist metadata, and strong full-text lyric search coverage. It is especially effective when you only remember a phrase and want contextual clues to confirm the exact track. Use Genius when you need both lyric matching and deeper interpretation around song meaning, references, and verified song pages.
Musixmatch
Musixmatch combines synchronized lyrics, multilingual catalogs, and practical search tools for identifying songs from remembered lines. It performs well across mainstream and international tracks, making it useful for global audiences. Choose Musixmatch when lyric snippets are your main signal and you also want playback-aligned lyrics after identifying the song.
Lyrics.com
Lyrics.com offers broad lyric indexing and quick text-based lookup for songs, artists, and albums. It is a straightforward option when you need a simple search box and fast result scanning without extra product layers. Use it for quick lyric snippet matching and for cross-checking uncertain phrases found in other lyric search platforms.
Google Lyrics Query Tips 根据部分歌词找歌的技巧
Google remains highly effective for lyric-based discovery when you search with quotation marks around exact phrases and add context like artist, language, or genre. This method helps disambiguate common lyric lines that appear in multiple songs. Use this approach when dedicated lyric tools return too many candidates or cannot resolve partial wording.
Shazam Lyric View
Shazam’s lyric view is useful after initial recognition because it lets you validate whether the returned track truly matches the lines you remember. The synchronized lyric experience can help confirm chorus structure and timing. Use this tool when you have a probable match and want a second verification layer through lyric alignment.
SoundHound Lyrics Search
SoundHound supports both melody and lyric-centric workflows, making it flexible for uncertain song memory scenarios. You can move between humming input and text input depending on what signal you remember best. Use SoundHound when your recall is mixed, such as partial lyrics plus a rough tune, and you need one tool to handle both paths.
Lyric Finder 通过歌词片段与翻译模式查找歌曲
Lyric Finder 是一款基于歌词找歌的 Chrome 扩展，适合你只记得几句歌词时使用。它支持按歌词片段搜索，并提供翻译式检索方式，对多语言歌曲尤其友好。当哼唱识曲无法命中时，如果你还记得部分歌词，就可以优先使用这个工具。
即时识曲的最佳音乐识别 App
对比移动端常用识曲应用，覆盖全球主流工具和区域型选择，帮助你更快匹配未知歌曲。
Shazam Shazam：领先的音乐发现应用
Shazam is one of the most widely used music recognition apps, optimized for instant identification from ambient audio. It typically delivers fast matches with artist, track title, and playback options, making it a reliable first stop for unknown songs. Choose Shazam when you need quick recognition in everyday situations like shops, cafes, radio, or short social clips.
QQ Music Song ID
QQ Music’s built-in song identification feature is popular among Chinese-speaking users and performs well for regional catalogs and mainstream releases. It combines recognition with immediate in-app playback and recommendation flows. Use QQ Music Song ID when your audience or personal listening habits focus on Chinese and East Asian music ecosystems.
SoundHound SoundHound：用语音或声音识别歌曲
SoundHound stands out by supporting both direct audio recognition and humming-based search in a single app experience. This dual-input flexibility makes it practical when you are unsure whether to use melody or environmental sound. Use SoundHound when you want one mobile tool for voice, humming, and lyric-assisted identification workflows.
NetEase Cloud Music Song ID
NetEase Cloud Music offers integrated song identification tied to its recommendation engine and large streaming catalog. It is especially useful for users already in the NetEase ecosystem, where discovery and playback happen in one place. Use this option when you want seamless handoff from recognition to playlisting, comments, and personalized music suggestions.
Musixmatch App Musixmatch：带歌词的音乐识别工具
The Musixmatch app is strong for users who value lyrics-first identification, synchronized captions, and multilingual support across devices. It helps bridge song recognition and lyric comprehension, especially when discovering music in unfamiliar languages. Choose Musixmatch when identifying the song is only part of your goal and lyric accessibility is equally important.
Beatfind 基于 ACRCloud 的多语言听歌识曲
Beatfind 是一款基于 ACRCloud 技术的 Android 听歌识曲应用，支持多语言快速匹配。它会监听周围正在播放的音频，并在几秒内返回可能的歌曲结果，非常适合咖啡馆、商场和短视频场景。若你需要轻量、设备端即可完成的识曲体验，Beatfind 是一个高效选择。
Song Finder 快速识曲并直达视频与流媒体
Song Finder 专注于快速识别歌曲，并在命中后顺畅跳转到视频或流媒体平台继续播放。它适合不仅想知道歌名、还希望立刻开始收听的用户。如果你更看重识别速度和一键衔接到播放应用，Song Finder 会非常实用。
Music Recognition - Find Songs 实时识别周围正在播放的音乐
Music Recognition - Find Songs 是一款通用型 Android 识曲工具，可实时识别你周围正在播放的音乐。它适用于音箱、电视或公共场所等日常环境中的听歌识曲场景。如果你需要流程简单、无需复杂设置的环境音识别，这款应用非常直接好用。
Deezer SongCatcher 通过哼唱、吹口哨或唱歌识曲
Deezer SongCatcher 支持哼唱、吹口哨和唱歌识曲，并依托 Deezer 的多语言曲库进行匹配。它在无法播放原曲、但你可以复现一段旋律时尤其有帮助。如果你的记忆更偏向旋律而非歌词，可优先使用 SongCatcher 进行混合输入找歌。
Spotify 语音搜索并直连全球音乐曲库
Spotify 的语音搜索与应用内匹配流程可将识别出的歌曲快速连接到其全球曲库（含多语言音乐）。识别完成后，用户无需切换平台即可立即继续播放。如果你希望在同一生态里完成“识曲 + 立刻听歌”，Spotify 是非常顺畅的方案。
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