Paris-Manhattan
2012 · 79 min · Director: Sophie Lellouche
Show plot summary (may contain spoilers)
In Paris, the pharmacist Alice has been an obsessed Woody Allen fan since she was fifteen and has seen all his movies and talks to him alone in her room. When she meets Pierre in a night-club, she finds that he loves jazz and she believes he is her prince charming. But when Pierre sees Alice's sister Hélène, they immediately fall in love with each other and marry each other. Years later, Alice is a spinster that administrates the pharmacy that belonged to her father and believes that movies can heal many diseases. However her father insistently tries to find a husband for her. When the alarm technician Victor meets Alice, she does not see any future relationship with him. But one day, Victor brings Alice to meet Woody Allen in Paris and the director gives an advice to Alice.
Your viewing check-in
Emotional fingerprint
Paris-Manhattan (2012) — Movie. Top emotional signals: Humor 30%, Love 25%, Empathy 20%. Source: AI estimate. Shares describe emotional signal, not percentages of people. Your experience may differ. How we measure
- Humor30%
- Love25%
- Empathy20%
- Anxiety15%
- Satisfaction10%
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 Humor, Love, Empathy. Genres: Comedy, Romance. AI estimate.
Is it worth watching?
Consider this title if you are looking for Humor, Love and Empathy. Its IMDb rating of 6.1/10 suggests a generally positive audience reception. For these leading emotions, its Feel Score is 63/100.
How did it make you feel?
Votes are saved to the fingerprint once you’re signed in.
Pick up to three · 0/3
Emotional journey
- Humor
- Anticipation
- Love
Not enough subtitle evidence
No dominant emotion
Dominant emotion: Humor
Dominant emotion: Sadness
Dominant emotion: Anticipation
Dominant emotion: Love
Dominant emotion
| % | Approximate minute | Dominant emotion | Overall intensity | Humor | Anticipation | Love |
|---|---|---|---|---|---|---|
| 2.5 % | ≈ 2′ | Humor | 40 % | 35 % | 17 % | 15 % |
| 7.5 % | ≈ 6′ | Sadness | 41 % | 32 % | 19 % | 20 % |
| 12.5 % | ≈ 10′ | Humor | 40 % | 34 % | 19 % | 18 % |
| 17.5 % | ≈ 14′ | Humor | 43 % | 41 % | 20 % | 13 % |
| 22.5 % | ≈ 18′ | Humor | 44 % | 44 % | 24 % | 14 % |
| 27.5 % | ≈ 22′ | Humor | 46 % | 46 % | 24 % | 15 % |
| 32.5 % | ≈ 26′ | Humor | 49 % | 49 % | 24 % | 16 % |
| 37.5 % | ≈ 30′ | Humor | 45 % | 40 % | 24 % | 15 % |
| 42.5 % | ≈ 34′ | Sadness | 49 % | 38 % | 24 % | 14 % |
| 47.5 % | ≈ 38′ | Humor | 57 % | 50 % | 29 % | 14 % |
| 52.5 % | ≈ 41′ | Humor | 59 % | 58 % | 33 % | 10 % |
| 57.5 % | ≈ 45′ | Humor | 54 % | 53 % | 31 % | 13 % |
| 62.5 % | ≈ 49′ | Humor | 48 % | 40 % | 31 % | 20 % |
| 67.5 % | ≈ 53′ | Sadness | 46 % | 27 % | 35 % | 25 % |
| 72.5 % | ≈ 57′ | Anticipation | 48 % | 26 % | 36 % | 26 % |
| 77.5 % | ≈ 61′ | Humor | 46 % | 35 % | 34 % | 25 % |
| 82.5 % | ≈ 65′ | Love | 50 % | 39 % | 43 % | 29 % |
| 87.5 % | ≈ 69′ | Anticipation | 60 % | 38 % | 58 % | 32 % |
| 92.5 % | ≈ 73′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
| 97.5 % | ≈ 77′ | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence | Not enough subtitle evidence |
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 ↗
Kadri — your film companion
AIAsk anything about Paris-Manhattan. From the film’s own dialogue and FeelDB data, at your spoiler level.
Kadri
Hi, I’m Kadri. Ask me anything about Paris-Manhattan — I’ll stay inside your spoiler line.
Premise onlyAfterward Reveal viewer responses · may contain spoilers
Viewer responses about feelings after the title ended, separate from feelings while watching. No AI estimates.
0 responses so far
Feeling details appear after at least 3 viewers respond, to protect privacy.
Cast
Vincent
Madam Gozlan
La cliente dépressive
L'assistante d'Alice
La dernière cliente
Le malade
Le coursier
Le concierge
Le directeur de l'hôtel
Details
- Directed by
- Sophie Lellouche
- Written by
- Sophie Lellouche
- Type
- Movies
- Released
- 2012
- Runtime
- 79 min
- Country
- France
- Ratings
- Feels mostly
- Humor
- Data updated
Where to watch
Free
Rent
Feels similar
More like this →Emotion overlap shows mood similarity, not a prediction of enjoyment.





