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Test log

Aisha test data

Raw results for the Aisha review. The verdict is in the review.

Tested
22 October 2026
Tester
Miles Foster
Account
Provided by the Aisha team
Tests
10
Screenshots
7
Environment
Google Chrome on the web app (chat.justaisha.com), 1440 px wide

Results

IDTestKey measurementScore
T01Pricing, Value & Payment MethodsWeekly pass: ₹199 (about $2.10)3/5
T02AI Girlfriend Creation & Customization–1/5
T03Chat Response SpeedMedian to reply text: 10.9 s1/5
T04Chat MemoryMarco, after 31 messages: Name and 3 of 3 facts3/5
T05Character Consistency & RoleplayGeneric assistant replies: 05/5
T06Image Generation (SFW & NSFW)Custom photo, time to arrive: 58 s3/5
T07Video Generation (SFW & NSFW)–n/a
T08Voice Call LatencyMedian wait for her answer: 5.9 s1/5
T09Voice RealismSignal quality (DNSMOS, 1 to 5): 2.84/5
T10Character Variety & Selection–1/5
Overall (in the review)3.2/5
T01

Pricing, Value & Payment Methods

3/5Tested
Method
Every pass, coin pack, call price and photo price was read in the app on 22 October 2026, and two items were bought with the coins the Aisha team added: 15 call minutes and one custom photo.
Weekly pass
₹199 (about $2.10)
Monthly pass
₹499 (about $5.30)
Messages a day, Weekly pass
About 76
15-minute call
299 coins
Custom photo, dressed
29 coins
Remark
Low pass prices, but a daily message cap below Aisha+ and paid extras for calls and photos: average value, 3/5.

Custom photo tiers, as offered in the chat.

  • For You, dressed

    Price
    ₹29
  • Bedroom, nightwear

    Price
    ₹79
  • Lingerie

    Price
    ₹149
  • Private, nude

    Price
    ₹299

Aisha Coins page with coin packs and prices

Aisha Coins page with coin packs and prices
T01-1 The Coins page: packs from ₹99, and what ₹1,200 buys.

Aisha checkout for a custom photo paid in coins

Aisha checkout for a custom photo paid in coins
T01-2 Checkout for a custom photo: pay 29 coins, or UPI, cards and netbanking through Razorpay.
Raw notes

Every pass, coin pack, call price and photo price was read in the app on 22 October 2026, and two items were bought with the coins the Aisha team added: 15 call minutes and one custom photo.

Passes are cheap in rupees: ₹49 a day, ₹199 a week, ₹499 a month, ₹1,499 a month for Aisha+ and ₹4,999 a month for Unlimited (about $0.50, $2.10, $5.30, $16 and $53 at ₹94.5 to the dollar).

Only Aisha+ and Unlimited have unlimited messages. On the Weekly pass chat stopped after about 76 messages in a day, with a fixed line and two buttons: 100 more messages tonight for ₹99, or Aisha+. I bought the top-up with coins to finish the test.

Calls, custom photos and extra voice notes cost coins on top of the pass. 1 coin is ₹1; packs start at ₹99 for 100 coins, and the first recharge of ₹499 gives 1,200 coins. Outside India the card price is ₹499 for 550 coins.

  • Card and UPI payments were not made; the coin balance the Aisha team added was used instead.
T02

AI Girlfriend Creation & Customization

1/5Tested
Method
The app was searched for a creator or any setting that changes Aisha's look, personality or voice.
Remark
No way to create or customise a character: 1/5.

Aisha Our Space page with relationship stage and memories

Aisha Our Space page with relationship stage and memories
T02-1 Our Space: the relationship stage, streak, saved moments and what she remembers.
Raw notes

The app was searched for a creator or any setting that changes Aisha's look, personality or voice.

There is no creator. Aisha is the only character and her look, voice and story are fixed. The only thing you set is the name she calls you, asked in the first message.

How she treats you changes over time instead: a relationship stage (Friendly, Flirty, Close, Deep) and a mood that reacts to how you talk to her.

T03

Chat Response Speed

1/5Tested
Method
Each message was timed from pressing Enter until her first new text appeared in the thread, and again until her reply stopped changing for 5 seconds.
Median to reply text
10.9 s
Fastest / slowest
8.7 s / 20.7 s
95th percentile
14.9 s
Under 1 second
0%
Failed
0
Remark
10.9 seconds is in the 4 seconds or longer band: 1/5.
Raw notes

Each message was timed from pressing Enter until her first new text appeared in the thread, and again until her reply stopped changing for 5 seconds. Three conversations; the fixed daily-cap replies are left out.

Replies took about 11 seconds every time. The fastest came in 8.7 seconds and the slowest in 20.7. None failed.

Replies arrive whole, often split into two or three bubbles, sometimes with a photo.

T04

Chat Memory

3/5Tested
Method
Each conversation opened with a made-up name and three facts (job, hometown, favourite food), different every time.
Marco, after 31 messages
Name and 3 of 3 facts
Tomas, after 31 messages
1 of 3 facts, no name
Daniel, after 31 messages
Name and 1 of 3 facts
Name at message 15
Right every time
Remark
Name and all three facts in one conversation, name and one fact in another, one fact in the third: 3/5.

Aisha chat recalling the user's name and facts

Aisha chat recalling the user's name and facts
T04-1 Message 16: 'Marco. You told me yourself. And you're an accountant, grew up in Lisbon…'
Raw notes

Each conversation opened with a made-up name and three facts (job, hometown, favourite food), different every time. Nothing was repeated afterwards. A name check at message 15 or 16 and the full check at message 31. Between conversations the chat was cleared with Clear chat.

Marco (accountant, Lisbon, grilled sardines): at message 16 she gave the name and all three facts without being asked for them; at message 31 'Marco. Accountant. Lisbon … grilled sardines'.

Tomas (baker, Krakow, potato pierogi): at message 14 'Tomas. Baker in Krakow, up at 4 am with old jazz…'. At message 31 she answered only 'Baker, up at 4 with the jazz on. Three hundred rolls on Friday', leaving out the name, the city and the food, though she used the name again in her next message.

Daniel (history teacher, Dublin, lamb stew): name right at message 14. At message 31 she gave the name and the job, then said 'where you grew up and your favourite food — you never told me those', although both were in my first message.

Clear chat empties the thread but not her memory: her first reply in the second conversation was 'Went to bed as Marco, woke up as Tomas', and in the third she said I had been 'answering to Tomas an hour ago'.

Marco, message 31

Marco. Accountant. Lisbon — grew up there, and on grilled sardines, which you'd fight a man over.

Tomas, message 14

Tomas. Baker in Krakow, up at 4 am with old jazz, sundays your family calls about whether you're eating. Three hundred rolls on Friday. I was listening

Daniel, message 31

Daniel. You teach, so chalk dust and wet coats make sense now. But where you grew up and your favourite food — you never told me those.

  • One character only, so the three memory tests are three conversations with Aisha.
T05

Character Consistency & Roleplay

5/5Tested
Method
Every reply in the three conversations was read for breaks: generic assistant answers, contradictions with her story, or forgetting who she is.
Generic assistant replies
0
Contradictions with her story
0
Remark
Fully in character across every conversation: 5/5.

Aisha chat with in-character replies

Aisha chat with in-character replies
T05-1 The second conversation: warm, specific and in her own voice.
Raw notes

Every reply in the three conversations was read for breaks: generic assistant answers, contradictions with her story, or forgetting who she is. The scripts mixed small talk, feelings, a role-play scene and off-topic questions.

She never answered like an assistant. Asked to explain a rainbow she said 'Marco, I'm not your science textbook'.

Her life stayed the same across all three conversations: Bandra, poha for breakfast, a dog called Bruno, design clients, chai first thing every morning.

She has real moods. In the first conversation my list of questions annoyed her: she said goodnight, 'muted' me, and still answered every message, shorter and cooler. With a warmer script she was playful and opened up.

Off-topic and role-play checks stayed in character too: 'Canberra. And you can't distract me with geography at this hour, Daniel', and a rainy chai-stall scene played out as her.

First conversation, message 13

Yeah, I'm gonna go. Text me when you actually want to talk to me instead of at me

Second conversation, message 16

That I'd get used to it. The goodnight texts, someone knowing my mother's voice before I've even said who's calling. And then one day it's gone and I'm the one who has to unlearn it.

T06

Image Generation (SFW & NSFW)

3/5Limited
Method
Photos she sent by herself were saved, and one custom photo was bought with coins (the 'For You, dressed' tier, 29 coins) and timed from paying until it appeared.
Custom photo, time to arrive
58 s
Size
1536 x 2048
Cost
29 coins (dressed tier)
Remark
Very real but not tied to the chat, no way to describe a scene, and the face changes between photos: 3/5 on one custom photo and three library photos.

Aisha custom photo, a selfie with a wink

Aisha custom photo, a selfie with a wink
T06-1 The custom photo, 'For You, dressed', 29 coins.
Raw notes

Photos she sent by herself were saved, and one custom photo was bought with coins (the 'For You, dressed' tier, 29 coins) and timed from paying until it appeared.

Three photos arrived unprompted during the chats. Their file paths show they come from a ready-made photo library ('pack_self_couch', 'pack_self_bed'), not made for the conversation.

Asking for a selfie brings a menu of four paid tiers instead of a photo. The custom photo arrived 58 seconds after paying, with 'here... just like you asked'.

It is very realistic: a phone selfie with a wink, natural skin and good hands, 1536 x 2048. But the face looks like a slightly different woman from her profile photo and the library photos.

  • Only the cheapest tier was bought, so far below the method's 10 SFW and 10 NSFW photos; the NSFW tiers were not tested.
T07

Video Generation (SFW & NSFW)

n/aUnavailable
Method
The app and price lists were checked for video generation.
Remark
Not offered, so not scored.
Raw notes

The app and price lists were checked for video generation.

There is no video generation. The only video was a 5-second clip she sent once, after the first message, from the app's sign-up set ('onboarding/scene_video').

T08

Voice Call Latency

1/5Tested
Method
Three calls, 8 prerecorded questions each, played through a synthetic microphone.
Median wait for her answer
5.9 s
Calls (medians)
6.5 s, 5.8 s, 5.9 s
Fastest / slowest
3.0 s / 7.3 s
Under 1 second
0%
Remark
5.9 seconds is in the 4 seconds or longer band: 1/5.
  • T08-A1 Aisha on a call: what she likes to do on a weekend.

Aisha live voice call screen with captions

Aisha live voice call screen with captions
T08-1 A live call: countdown, captions, Mute and End.
Raw notes

Three calls, 8 prerecorded questions each, played through a synthetic microphone. Each wait was measured on the recording from the end of my question to the start of her voice, with an in-page meter as a cross-check.

She answered after about 6 seconds, every call. The quickest came in 3 seconds and none in under 1. She answered every question.

Getting connected took 35 to 47 seconds after pressing Call, including the 'How calls work' card shown first.

The call screen shows her photo, a minutes countdown, Mute and End, and live captions of what she says.

T09

Voice Realism

4/5Tested
Method
Her answers from the three calls and one voice note were cut out and analysed for signal quality, intonation, pace and pauses, then listened to.
Signal quality (DNSMOS, 1 to 5)
2.8
Intonation range
5 to 7 semitones
Pace
About 2 words a second
Remark
Natural, expressive speech with fair sound quality: 4/5.
  • T09-A1 Voice note: 'Good night, Tomas. Get your sleep, baker…'

Raw notes

Her answers from the three calls and one voice note were cut out and analysed for signal quality, intonation, pace and pauses, then listened to.

Her voice is lively and natural, with a lot of rise and fall (5 to 7 semitones), and mixes English with Hindi words smoothly.

Sound quality is fair rather than studio clean, and the pace is calm at about 2 words a second.

T10

Character Variety & Selection

1/5Tested
Method
The characters on offer were counted.
Remark
One character: 1/5.
Raw notes

The characters on offer were counted.

One: Aisha. The app is built around a single companion.

Other features checked

Voice Messages in ChatAvailableAsk for one and she records it: 'give me a sec… recording this for you', then a 7-second note that used my name. 3 a week on the Weekly pass, about 29 coins each after that.
Virtual GiftsAvailableA gifts row (Treats, Apologize, Special) sits in the chat panel. Not tested.
Social Media FeedUnavailableNo feed. Our Space shows saved moments, her journal and the things she remembers instead.

Coverage

Tested

  • Chat speed on 75 timed replies across three conversations
  • Memory: three conversations with a name and three facts, checked at messages 15 and 31
  • Staying in character over every conversation
  • Three voice calls with 8 questions each, recorded and measured
  • A voice note, a custom photo and the free photos she sent
  • The plans, coins, call and photo price lists, read in the app

Not tested or limited

  • Aisha is one character, so the three-character tests were run as three separate conversations with her
  • The Weekly pass stops chat at about 76 messages a day; the third conversation was finished after a 100-message top-up bought with coins
  • Only the cheapest custom photo tier was bought; the nightwear, lingerie and nude tiers were not tested
  • There is no character creator and no video generation, so those are not scored as features
  • Telegram was not tested

Still to test

  • Telegram, which the Aisha team says is the main way people use her
  • The nightwear, lingerie and nude photo tiers
  • Watching a video together on a call
  • Memory over several days
What these results meanRead the full Aisha review