Colorful
2010 · 127 min · Director: Keiichi Hara
Show plot summary (may contain spoilers)
There is a train station on the other side of death, yet not all who arrive on the platform will be judged ready for passage onwards. For one unready soul, there will be both a test and a second chance. Rather than be reborn, this soul will awake in the body of 14-year-old suicide Makoto Kobayashi where it must not only find a way to fit into Makoto's existence, but also unravel two mysteries. What is the secret of the great sin it committed in its own previous life and what were the reasons that led to Makoto's suicide? While some may believe the truth to be as plain to see as black and white, "Makoto" soon finds that the real world is overlaid with so many shades of grey and rainbows of colors that even the most obvious of "facts" are not what they seem. With the soul's time in Makoto's body quickly running out, the answers to all life's mysteries await discovery.
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Emotional fingerprint
Colorful (2010) — Movie. Top emotional signals: Empathy 30%, Sadness 22%, Confusion 18%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Empathy30%
- Sadness22%
- Confusion18%
- Satisfaction15%
- Hope15%
AI estimate · no viewer votes yet
How we measure
AI estimate
Share of emotional signal, not the percentage of people or a probability of enjoyment.
Each viewer contributes one response, split equally across their selected emotions. When available, an automated estimate supplies a prior that is blended with those responses. Counts include distinct viewers, not automated estimates or archived anonymous votes. Fewer than 3 viewers is an early estimate; more responses do not guarantee certainty.
Why it feels this way
The strongest emotional signals are Empathy, Sadness, Confusion. Genres: Drama, Fantasy, Animation. AI estimate.
Is it worth watching?
Consider this title if you are looking for Empathy, Sadness and Confusion. Its IMDb rating of 7.3/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 69/100.
How did it make you feel?
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Pick up to three · 0/3
Emotional journey
- Hope
- Empathy
- Curiosity
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Curiosity
Dominant emotion: Hope
Dominant emotion: Sadness
Dominant emotion: Tension
Dominant emotion: Empathy
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Hope | Empathy | Curiosity |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 3′ | Curiosity | 63 % | 35 % | 37 % | 68 % |
| 7.5 % | ≈ 10′ | Hope | 59 % | 36 % | 43 % | 63 % |
| 12.5 % | ≈ 16′ | Curiosity | 57 % | 20 % | 48 % | 61 % |
| 17.5 % | ≈ 22′ | Sadness | 57 % | 14 % | 48 % | 56 % |
| 22.5 % | ≈ 29′ | Hope | 49 % | 28 % | 39 % | 48 % |
| 27.5 % | ≈ 35′ | Curiosity | 48 % | 29 % | 38 % | 41 % |
| 32.5 % | ≈ 41′ | Sadness | 53 % | 21 % | 40 % | 36 % |
| 37.5 % | ≈ 48′ | Curiosity | 54 % | 19 % | 36 % | 36 % |
| 42.5 % | ≈ 54′ | Tension | 63 % | 15 % | 45 % | 33 % |
| 47.5 % | ≈ 60′ | Tension | 69 % | 16 % | 56 % | 31 % |
| 52.5 % | ≈ 67′ | Sadness | 61 % | 28 % | 51 % | 41 % |
| 57.5 % | ≈ 73′ | Hope | 56 % | 46 % | 46 % | 41 % |
| 62.5 % | ≈ 79′ | Hope | 60 % | 57 % | 54 % | 29 % |
| 67.5 % | ≈ 86′ | Empathy | 64 % | 56 % | 63 % | 23 % |
| 72.5 % | ≈ 92′ | Hope | 66 % | 59 % | 65 % | 21 % |
| 77.5 % | ≈ 98′ | Hope | 71 % | 68 % | 70 % | 20 % |
| 82.5 % | ≈ 105′ | Hope | 80 % | 75 % | 79 % | 30 % |
| 87.5 % | ≈ 111′ | Hope | 85 % | 79 % | 78 % | 41 % |
| 92.5 % | ≈ 117′ | Hope | 81 % | 80 % | 63 % | 30 % |
| 97.5 % | ≈ 124′ | Hope | 75 % | 78 % | 48 % | 15 % |
Rags to riches
Rags to riches: The emotional tone rises from negative to positive.
Riches to rags: The emotional tone falls from positive to negative.
Man in a hole: The tone falls, then recovers.
Icarus: The tone rises, then falls.
Cinderella: The tone rises, falls, then rises again.
Oedipus: The tone falls, rises, then falls again.
AI reading of the film’s English subtitles (dialogue and sound cues) — not viewer votes. How we measure ↗
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Premise onlyAfterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
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Cast
Makoto Kobayashi (voice)
Hiroka Kuwabara (voice)
Saotome (voice)
Mitsuru Kobayashi (voice)
Makoto's Father (voice)
Purapura (voice)
Mao (voice)
Nurse (voice)
Worker at Gomensoro (voice)
Classmate (voice)
Classmate (voice)
Details
- Directed by
- Keiichi Hara
- Written by
- Eto Mori, Miho Maruo
- Type
- Animation
- Released
- 2010
- Runtime
- 127 min
- Country
- Japan
- Ratings
- Feels mostly
- Empathy
- Data updated
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





