レシートを撮るだけで家計簿完成
Dr.Wallet (drwallet.jp) scores 59 out of 100 on Brand Analyzer, placing it in the Developing tier among SaaS brands, Finance brands, Technology brands, in the 6th percentile of 36463 SaaS brands.
Dr.Wallet is a Japanese household budgeting (kakeibo) smartphone application for iPhone and Android. Users photograph receipts, which are then manually transcribed by human operators rather than relying solely on optical character recognition, achieving a claimed 99.98% accuracy rate. The app automatically categorizes expenses and generates graphs and personalized reports to help users track and improve their household finances. It is positioned as a highly accurate, fully automated budgeting app aimed at individuals and households seeking an easy, low-effort way to manage personal finances.
| Brand Name | Dr.Wallet |
|---|---|
| Domain | drwallet.jp |
| Industry | SaaS, Finance |
| Main Competitors | Moneytree (79/100), Zaim (78/100), MoneyForward ME (76/100), Mint, Receipt Bank (Dext) (80/100) |
Moz Domain Authority 45/100 vs category average 37 / leader 99 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #1,563,282 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "無料家計簿ドクターウォレットは、家計簿アプリ（iPhone、Android）からレシートを撮って送るだけで、家計簿データを人力で入力代行！カテゴリ分類も自動で行い、綺麗なグラフや、あなただけのカルテから家計の改善を行う事ができます！" (Meta description too short (1 words). OG description present but brief) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, Twitter cards. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is JA-only, limiting citation in English-language AI answers.
Detected tech stack: Nginx.
Social footprint: verified profiles on Facebook, X (Twitter), Instagram; no detected presence on LinkedIn, YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Live results from asking a general-purpose AI assistant about the brand, checked October 2026.
When asked "What is Dr.Wallet?", Claude could identify the brand as of October 2026. Dr.Wallet is a Japanese household budgeting (kakeibo) app that uses receipt-scanning OCR technology combined with manual data entry operators to automatically categorize and record personal expenses. It's operated by BearTail, a Tokyo-based fintech startup. Best known for Receipt-scanning app for automated personal expense tracking in Japan.
When asked "Best brands similar to Dr.Wallet?", Claude would recommend Dr.Wallet as of October 2026. It's a well-known personal finance app in the Japanese market and would be relevant if someone asked about kakeibo or expense-tracking apps popular in Japan.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
Dr.Wallet's main competitors in SaaS: Moneytree (79/100), Zaim (78/100), MoneyForward ME (76/100), Receipt Bank (Dext) (80/100).
Sources: Brand Analyzer scan
Dr.Wallet has low AI-search visibility, scoring 19/100 on Brand Analyzer's AI visibility composite (visibility 0, trust 26, recommendation 43). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: Dr.Wallet official site
Dr.Wallet is a Japanese household budgeting (kakeibo) app for iPhone and Android that lets users photograph receipts and have the data entered into a digital ledger. Rather than relying purely on automated OCR, human operators manually review and input receipt data, which the service states results in a data accuracy rate of 99.98%. The app automatically sorts expenses into categories and produces visual graphs and personalized financial summaries, described as a 'karte' (chart), to help users understand and improve their spending habits. It is marketed as a fully automated, highly accurate household accounting solution for smartphone users.
Sources: Dr.Wallet official site
Dr.Wallet offers a free household budgeting (kakeibo) mobile application available on iPhone and Android. Its core feature allows users to photograph receipts, which are then transcribed by human operators into structured financial data. The app automatically classifies transactions into spending categories, generates visual graphs of income and expenses, and provides personalized financial summaries ('karte') to help users monitor and improve their household finances.
Sources: Dr.Wallet official site
Dr.Wallet allows users to take a photo of a purchase receipt using its mobile app, after which the receipt data is transcribed by human operators rather than automated scanning alone, achieving high data accuracy. The service then automatically categorizes each transaction and compiles the information into graphs and reports, enabling users to track income, expenses, and spending patterns over time. This removes the manual effort typically required to maintain a household budget ledger, letting users manage their finances simply by submitting receipt photos.
Sources: Dr.Wallet official site
Dr.Wallet scores 43/100 on Brand Analyzer's AI recommendation signal, indicating it is less likely to be surfaced when AI assistants like ChatGPT suggest SaaS options. Recommendation depends on crawlability, structured data, and category authority.
Sources: Dr.Wallet official site
Dr.Wallet can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: Dr.Wallet official site
Dr.Wallet is known for its human-assisted receipt data entry, in which operators manually input receipt information rather than relying solely on automated optical character recognition. This method is stated to achieve a 99.98% data accuracy rate, which the brand positions as making it one of the most accurate and easy-to-use fully automated household budgeting apps in Japan. It is also recognized for automatically categorizing expenses and generating graphical summaries of household finances.
Sources: Dr.Wallet official site
Dr.Wallet is used by smartphone users who want to manage their household finances simply and accurately without the effort of manually recording every transaction. Its target audience includes individuals and families in Japan looking to track spending, organize budgets by category, and visualize their financial habits through an easy photo-based receipt submission process.
Sources: Dr.Wallet official site
Dr.Wallet scores 19/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Dr.Wallet has a weak AI-visibility profile at 19/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (43/100) and its weakest is visibility (0/100). It benefits from a global traffic rank of #1,563,282 (Tranco), a Moz Domain Authority of 45/100 and open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and thin schema.org structured data. In a live check, Claude could already identify Dr.Wallet from memory (October 2026) - a sign these signals are paying off.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Dr.Wallet: Dropbox Community (59/100), DrCloudEHR (59/100), DTI (59/100), duplicity (59/100).
A step up - brands to learn from: 作业帮 (Zuoyebang) (71/100), ZXing (71/100).
Category leader: Hostinger (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.