关于 FilmAnalysis
上传一张照片，看看你的摄影语言最接近哪位经典摄影大师。
FilmAnalysis 是什么
FilmAnalysis 是一个读照片风格的网页工具。它描述一张照片的视觉语言，找出作品与它最接近的摄影师，再单独看这张照片有多像胶片、差在哪里。分析完成后，可以做一张适合手机竖屏的分享卡片。
使用需要登录。账号只要一个昵称和一个密码，邮箱可填可不填（用来找回密码），用来保存你的徽章和分析进度。免费版每天可以分析一张照片。
FilmAnalysis 能分析什么
- 摄影师风格匹配：这张照片的视觉语言最接近资料库里的哪几位摄影师，以及为什么。
- 胶片感评分：从 0 到 100，看色彩、高光、阴影和质感是否像胶片那样形成。
- 胶片类型匹配：最接近的几种胶片观感，作为审美参照。
- 两类建议：后期能改的，和下次拍摄才能改的。
- 徽章收藏和分享卡片。
免费账号在基础库里匹配：5 位摄影师和 5 种胶片。按次购买的套餐还没有开放，详见购买套餐。
摄影师风格匹配怎么做
FilmAnalysis 先测量照片本身：色彩的饱和与冷暖、明暗对比、构图的重心、光线方向、颗粒和清晰度。然后由视觉模型读出测不出来的部分，比如情绪和与被摄对象的距离。这些读数再和资料库里每位摄影师的风格档案比较。档案根据他们公开的作品整理，是估计，不是测量。
比的是视觉语言，和拍了什么无关。拍一只乌鸦不会因此接近深濑昌久，拍一扇红门也不会因此接近威廉·埃格尔斯顿。结果里的相似度是一种相近程度，不是鉴定，也不是概率。没有哪位摄影师足够接近时，页面会直接说明。
胶片感评分是什么意思
评分看的是照片的成像方式：高光是慢慢变亮还是突然变白，颜色在亮部和暗部怎样变化，颗粒是否随明暗分布。只加颗粒、暖色或发灰的暗部，拿不到高分。
「胶片感」不是一个物理量。不同胶片之间的差别，常常比胶片和数码之间的差别还大：Velvia 浓烈，Portra 柔和，Tri-X 粗粝。扫描、冲洗和后期又会把同一卷底片变成很不一样的样子。所以 FilmAnalysis 会分开给出几项读数，而不只是一个数字；胶片名只是审美参照，FilmAnalysis 不复刻任何胶片，也和任何胶片厂商没有关系。详见为什么胶片审美不能只看一个分数。
为什么做 FilmAnalysis
很多人拍了几年照片，说不清自己喜欢的到底是什么：是某种光，某种距离，还是某种颜色。滤镜和预设能让照片「看起来像胶片」，却很少解释为什么像，或者为什么不像。FilmAnalysis 想试试，机器能不能把一张照片的视觉语言说得足够具体，让拍它的人觉得有用。
它还在不断改进。每次分析后的评分会决定接下来改什么，所以你的评分对这个项目很重要。
局限与透明
- 色彩和影调数值是从像素直接计算的；评分和匹配是模型的判断，不是测量。每个数字怎样得出、在什么测试上评测过，见方法与可靠性。
- 模型看到的是缩小到长边 2048 像素的副本，看不到原片里最细的颗粒和噪点。
- 模型会受被摄对象影响，即使被要求只看视觉语言。觉得匹配不对时，请在评分里告诉我们。
- 摄影师资料库目前收录约 140 位摄影师，覆盖不了所有风格；免费版只在其中 5 位里匹配。
- FilmAnalysis 不判断照片好不好。一张很美的照片可以一点也不像胶片。
照片只在你按下分析时上传，发给分析服务的是去掉元数据的缩小副本。完整说明见隐私政策。
胶片风格比较可能用到的公开 LUT 合集，以及它们的作者和许可，见致谢与许可。
联系我们
如有使用问题、意见反馈、账户或个人信息删除请求，可以通过小红书联系 FilmAnalysis 官方账号：@filmanalysis（小红书搜索：@filmanalysis）。
开始分析照片
挑一张你喜欢的照片，看看它的视觉语言最接近谁。
上传一张照片试试
About FilmAnalysis
Upload a photo and discover which legendary photographer shares your visual language.
What FilmAnalysis is
FilmAnalysis is a web tool that reads the style of a photograph. It describes a photo's visual language, finds the photographers whose work sits closest to it, and looks separately at how film-like the photo is and what keeps it from being more so. When the analysis is done, you can make a card sized for a phone screen.
Using it requires signing in. An account is a nickname and a password, with an optional e-mail address for password recovery, and it keeps your badges and progress. The free plan analyses one photo a day.
What FilmAnalysis analyses
- Photographer style matching: which photographers in the database are closest to the photo's visual language, and why.
- The Film Look Score, from 0 to 100: whether colour, highlights, shadows and texture form the way they do on film.
- Film stock matching: the closest few film looks, as aesthetic references.
- Two kinds of advice: what editing can change, and what only your next shoot can.
- Badges and share cards.
Free accounts match within a basic library of 5 photographers and 5 film stocks. Pay-per-analysis packages are not open yet. See paid plans.
How photographer matching works
FilmAnalysis first measures the photo itself: saturation and colour temperature, contrast, where the weight of the composition sits, the direction of the light, grain and sharpness. A vision model then reads what cannot be measured, such as mood and the distance from the subject. These readings are compared with a style profile for each photographer in the database. The profiles are estimates drawn from their published work, not measurements.
The comparison is about visual language, whatever the subject. A photo of a raven does not bring you closer to Masahisa Fukase, and a red door does not make you William Eggleston. The similarity shown is an affinity, not an attribution or a probability. When no photographer is close enough, the page says so.
What the Film Look Score means
The score looks at how the image forms: whether highlights brighten gradually or turn white at once, how colour changes from the shadows to the highlights, whether grain follows the tones. Added grain, warm tones or faded blacks alone do not earn a high score.
"Film look" is not a physical quantity. Films differ from each other as much as from digital: Velvia is dense and saturated, Portra soft, Tri-X gritty. Scanning, processing and editing turn the same roll into very different pictures. That is why FilmAnalysis reports several readings alongside the single number. Film names are aesthetic references: FilmAnalysis reproduces no film and has no connection with any film maker. See why film aesthetics cannot be reduced to one score.
Why FilmAnalysis exists
Many people who have photographed for years find it hard to say what they are drawn to: a kind of light, a distance from people, a palette. Filters and presets can make a photo look like film, but they rarely explain why it does, or why it doesn't. FilmAnalysis is an attempt to find out whether a machine can describe a photograph's visual language specifically enough to be useful to the person who took it.
It keeps improving. The rating after each analysis decides what changes next, so your ratings matter to the project.
Limits and transparency
- Colour and tone values are computed directly from the pixels; scores and matches are a model's judgement, not a measurement. How each number is produced and how it was evaluated is explained under methodology and reliability.
- The model sees a copy reduced to 2048 pixels on the long edge, so the finest grain and noise of the original are lost.
- Models are swayed by subject matter even when told to look only at visual language. If a match seems wrong, say so in your rating.
- The photographer database holds about 140 photographers and cannot cover every style; the free plan matches among 5 of them.
- FilmAnalysis does not judge whether a photo is good. A beautiful photo can look nothing like film.
Your photo is uploaded only when you tap Analyse, and the analysis service receives a smaller copy without metadata. The full details are in the privacy policy.
The openly licensed LUT collections that film matching can draw on, with their authors and licences, are listed under acknowledgements and licences.
Contact us
For questions, feedback, account issues, or personal data deletion requests, contact FilmAnalysis on Xiaohongshu: @filmanalysis (search for @filmanalysis in the Xiaohongshu app).
Start analysing
Pick a photo you like and see whose visual language it comes closest to.
Try it with a photo
