Face Jam AI
ASO Keyword Dashboard
Tracking 103 keywords for Face Jam AI in Apple App Store
Face Jam AI tracks 103 keywords (no keywords rank yet; 103 need traction). Key metrics: opportunity 70.5, difficulty 40.5.
Tracked keywords
103
0 ranked • 103 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
70.5
Top keyword: combine
Avg difficulty
40.5
Lower scores indicate easier wins
Opportunity leaders
- 64.8
combine
Opportunity: 73.0 • Difficulty: 41.8 • Rank —
Competitors: 307
- 65.1
vision
Opportunity: 73.0 • Difficulty: 40.7 • Rank —
Competitors: 120
- 67.0
functionality
Opportunity: 73.0 • Difficulty: 41.3 • Rank —
Competitors: 147
- 64.2
deeper
Opportunity: 73.0 • Difficulty: 39.6 • Rank —
Competitors: 139
- 65.5
baby
Opportunity: 73.0 • Difficulty: 42.1 • Rank —
Competitors: 289
Unranked opportunities
combine
Opportunity: 73.0 • Difficulty: 41.8 • Competitors: 307
vision
Opportunity: 73.0 • Difficulty: 40.7 • Competitors: 120
functionality
Opportunity: 73.0 • Difficulty: 41.3 • Competitors: 147
deeper
Opportunity: 73.0 • Difficulty: 39.6 • Competitors: 139
baby
Opportunity: 73.0 • Difficulty: 42.1 • Competitors: 289
High competition keywords
find
Total apps: 150,020 • Major competitors: 3,804
Latest rank: — • Difficulty: 54.6
share
Total apps: 123,262 • Major competitors: 2,555
Latest rank: — • Difficulty: 54.2
information
Total apps: 121,675 • Major competitors: 1,488
Latest rank: — • Difficulty: 52.2
way
Total apps: 115,841 • Major competitors: 2,692
Latest rank: — • Difficulty: 52.9
using
Total apps: 114,483 • Major competitors: 2,227
Latest rank: — • Difficulty: 52.7
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| share | 66 | 100 | 54 | 85 123,262 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 2,555 major competitor apps |
| right | 67 | 100 | 53 | 82 90,070 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,209 major competitor apps |
| try | 69 | 100 | 49 | 77 43,290 competing apps Median installs: 650 Avg rating: 4.1 | — | — | 1,337 major competitor apps |
| export | 71 | 100 | 44 | 71 19,501 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 373 major competitor apps |
| collect | 70 | 100 | 49 | 76 35,514 competing apps Median installs: 650 Avg rating: 4.2 | — | — | 1,362 major competitor apps |
| information | 66 | 100 | 52 | 85 121,675 competing apps Median installs: 300 Avg rating: 4.1 | — | — | 1,488 major competitor apps |
| used | 69 | 100 | 48 | 78 50,473 competing apps Median installs: 350 Avg rating: 4.0 | — | — | 700 major competitor apps |
| image | 70 | 100 | 46 | 74 27,979 competing apps Median installs: 400 Avg rating: 4.0 | — | — | 498 major competitor apps |
| people | 68 | 100 | 51 | 79 56,424 competing apps Median installs: 400 Avg rating: 4.3 | — | — | 1,266 major competitor apps |
| way | 66 | 100 | 53 | 84 115,841 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,692 major competitor apps |
| choose | 67 | 100 | 52 | 82 89,500 competing apps Median installs: 550 Avg rating: 4.2 | — | — | 2,549 major competitor apps |
| using | 66 | 100 | 53 | 84 114,483 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 2,227 major competitor apps |
| find | 66 | 100 | 55 | 86 150,020 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 3,804 major competitor apps |
| combine | 73 | 100 | 42 | 65 7,920 competing apps Median installs: 850 Avg rating: 4.2 | — | — | 307 major competitor apps |
| photos | 70 | 100 | 49 | 76 37,870 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 939 major competitor apps |
| vision | 73 | 100 | 41 | 65 8,240 competing apps Median installs: 300 Avg rating: 4.2 | — | — | 120 major competitor apps |
| quality | 68 | 100 | 50 | 79 58,873 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 1,152 major competitor apps |
| ai | 69 | 100 | 50 | 79 53,115 competing apps Median installs: 350 Avg rating: 4.3 | — | — | 916 major competitor apps |
| visual | 70 | 100 | 45 | 74 27,919 competing apps Median installs: 300 Avg rating: 4.3 | — | — | 468 major competitor apps |
| face | 71 | 100 | 46 | 72 22,733 competing apps Median installs: 750 Avg rating: 4.1 | — | — | 785 major competitor apps |
| real | 67 | 100 | 53 | 84 105,558 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 2,463 major competitor apps |
| want | 67 | 100 | 51 | 82 83,244 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 2,037 major competitor apps |
| color | 70 | 100 | 47 | 75 33,395 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 890 major competitor apps |
| following | 70 | 100 | 46 | 75 30,546 competing apps Median installs: 450 Avg rating: 4.0 | — | — | 696 major competitor apps |
| receive | 68 | 100 | 49 | 79 56,082 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 1,072 major competitor apps |
App Description
Here are a few ways this app can be used:
1) Hair color
Set the "input" photo to the person whose hair color you want to change. Choose a photo of a person with the hair color you want for the "style" photo. Since hair color is a relatively shallow style, styles can be mixed at shallow depths here. Mixing deeper styles will transfer deeper properties from the style photo such as face structure, gender, and head pose.
2) Baby generator
Choose photos of both parents and mix their styles. If mixing deep styles here, the gender styles will mix. There is a gender slider to adjust for this. If only mixing shallow styles, the gender will be that of the "input" face.
3) Hair transplant
This requires deeper style mixing than hair color. Set the input photo to the person who will receive the hair, and the style photo to someone who will donate the hair. Try to find the shallowest depth that transfers the hair style. This seems to be the 2nd to last and 3rd to last layers in most cases.
4) Cartoons
Some cartoon faces will be picked up by the face detector and their styles can be mixed with real people.
Fun fact: most of the faces used as inputs in the examples were actually generated from this app! Those people do not actually exist.
Note: This app does not collect any face data. All processing happens locally on the device. No data is shared with 3rd parties. No data is even stored locally. The only way to export data from this app is to share the generated image using the button in the lower right corner of the "stylized" image.
Additional Charges: The watermarks can be removed by subscribing.
Terms of use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Some of the functionality of this app was adapted from the following research:
[1] Goodfellow, Ian, et al. "Generative adversarial nets." Advances in neural information processing systems 27 (2014).
[2] He, Kaiming, et al. "Deep residual learning for image recognition." Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
[3] Karras, Tero, et al. "Analyzing and improving the image quality of stylegan." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
[4] He, Kaiming, et al. "Momentum contrast for unsupervised visual re