Perfios Alternatives for Credit Analysis: 8 Platforms Compared on Depth, Not Just Parsing

Most lenders looking for a Perfios alternative do not have a parsing problem. Perfios parses well and publishes the widest format coverage in India. What they have is a depth problem: the transactions come out categorised and an analyst still spends two days building a spread, reconciling the bureau and writing the memo. This compares eight platforms on that.

Key facts

• YuSight's sample Credit Assessment Memo took 28 minutes and carried 142 citations — every figure clickable back to the page of the document it came from. That artefact, not the transaction list, is what separates the platforms below.
• Perfios is the incumbent for good reasons and you should evaluate it seriously. Its India bank statement analyser publishes support for "4000+ Document Formats" from "1000+ banks globally", "5Bn+" transactions processed and "Trusted by over 1,000 institutions" (Perfios, Bank Statement Analyser — India, retrieved 27 August 2026). If format coverage is your constraint, the honest recommendation is Perfios.
• Perfios also has a credit memo product, and any comparison that ignores it is misleading you. Perfios CAM outputs include "Financial Spread", "Ratios", "Cashflow Summary", consumer and commercial bureau reports, GST and ITR-V, with claims of an "80% Reduction in CAM Preparation Time" (Perfios, CAM). The depth gap is narrower than most alternatives pages pretend.
• Karza is no longer an alternative to Perfios. Perfios acquired Karza Technologies, reported on 16 March 2022, when Karza served roughly 450 customers (PYMNTS). Lists that still show them separately are stale.
• The comparison articles in this category are almost all written by one of the vendors, ranking itself first with no methodology and no downside. Decentro's Perfios-alternatives article ranks Decentro at number one and lists no limitation for Decentro (Decentro, Top 10 Perfios Competitors & Alternatives). Precisa's bank statement analysis comparison names limitations for competing tools and none for Precisa (Precisa). Both retrieved 27 August 2026. This article is also written by a vendor — which is why the method is stated below and why the recommendation section sends work to competitors.

How we compared these platforms

What we compared. How far each platform carries a borrower's documents along a six-step ladder: (1) extract transactions, (2) categorise them, (3) spread financial statements into a standard format, (4) compute ratios, (5) reconcile the statement against bureau data, (6) produce a credit memo an examiner could audit. Plus published coverage, input channels and fraud checks.

Sources. Only each vendor's own product, solutions and homepage. Where a vendor publishes nothing on a step, the table says "not published" — which means we do not know, not that the capability is missing.

Date. All pages retrieved 27 August 2026.

What we could not verify.

• Pricing. None of the nine companies here publishes list pricing. We have not estimated any.
• Accuracy. No vendor publishes a benchmark methodology, corpus description or third-party audit. Every accuracy figure below — YuSight's 95.2% included — is self-reported.
• Coverage counts. "Formats" is defined by each vendor for itself. The counts are not comparable.
• Feature depth behind a marketing phrase. "Ratios" on a product page could mean four ratios or forty. We report the phrase and mark what is unclear.
• Whether karza.in still serves content. As at 27 August 2026 we could not retrieve it; the domain's TLS certificate had expired.

Disclosure. YuSight publishes this page and appears in the comparison. We have described competitors only from their own material, and the "when to choose each" section recommends them by name where they fit better.

What is the depth ladder, and where does most software stop?

Most bank statement analysers stop at step 2. That is not a criticism — steps 1 and 2 are hard, high-volume and worth automating. But if your analysts are already getting clean categorised data and still take two days per file, buying a better step-2 tool will not move your turnaround. Understanding where the time actually goes is the point of the arithmetic below and of how much analyst time automated spreading saves per file.

Perfios: the incumbent, described from its own material

Bank statement analysis. 4,000+ document formats, 1,000+ banks globally, 5Bn+ transactions processed, 10Cr statements per year, 6+ languages, a built-in fraud check utility for "PDF and transaction manipulations", a categorisation engine handling "more than 30 million narrations a day", netbanking retrieval and multi-account analysis.

Platform. Product lines are grouped as Perfios Analyse (document and bank statement analysers), Verify (KYC/KYB, VKYC, onboarding), Protect (document tamper and behavioural checks) and Lens (CAM, due diligence). Corporately: "1000+ Financial Institutions Worldwide", "18+ geographies", "2+ Bn Transactions Per Year", "500+ APIs", "1300+ Employees Worldwide".

Depth. Perfios CAM reaches step 6 on the ladder. Its published report components include Overall Summary, Banking Info, consumer and commercial bureau reports, Fraud Triggers, Strengths and Risks, Financial Spread, Ratios, Cashflow Summary, GST Summary and ITR-V. Published outcome claims: "80% Reduction in CAM Preparation Time", "50% Increase in Credit Manager Efficiency", "5% Reduction in Fraud Losses", "90% Reduction in Dependency on CPA".

One factual note on published coverage. Perfios' product page claims 4,000+ formats and 1,000+ banks. A post in the Perfios resources section states that PDF statements are "tested across 250+ formats covering the top 40+ banks" and that "the algorithm has 90%+ accuracy in counterparty identification" (Perfios blog). Both pages were live on 27 August 2026. The likeliest reading is an un-updated older post rather than a contradiction about the product. We record it because it is the same problem every vendor in this category has: coverage numbers are unaudited, self-defined and not maintained. Ask for the bank list.

Where Perfios is genuinely hard to beat: breadth of format coverage, deployment footprint across Asia, the Middle East and Africa, and the fact that a credit committee has almost certainly heard of it.

Not published: an accuracy figure or SLA on the India bank statement analyser page; pricing; a benchmark methodology; whether every figure in a CAM traces back to a source page.

The eight alternatives

1. ScoreMe Solutions — breadth of document types

Publishes "1600+ Bank templates supported for over 300 FIs", ">99% Accuracy achieved in just 2 minutes", "300+ Credit assessment checkpoints" and "100 Cr+" transactions analysed, accepting "digital PDFs, scanned PDFs, and physical paper statements" (ScoreMe). Its solutions page lists Bank Statement Analyzer, Financial Statement Analyzer, GSTR Analyzer, Integrated Analysis Solution, ITR & 26AS Analyzer, KYC & Compliance, Legal Data Analyzer and Bureau Data Analyzer. The Financial Statement Analyzer publishes "300+ Financial data points extracted", "100+ industries" and "600+ trusted data sources".

Ladder position: steps 1-3 clearly, with bureau and legal data alongside. Whether it computes a standard ratio set or produces a memo is not published.

Distinct strength: explicit support for physical paper statements, which matters if you still take files at a branch counter.

2. FinBox (BankConnect) — fraud depth, honestly stated

Publishes "150+ check types", detection of "more than 15 types of fraud", "96% detection accuracy", "Detect 40% more transactions with advanced analytics", "54% better income detection" and "37% more non-salaried earnings uncovered", plus named case studies with IIFL Finance ("30%" cost cut, "17%" more MSME approvals) and InCred ("98% accuracy in fraud detection", "60% reduction in false positives") (FinBox; fraud page).

Ladder position: steps 1-2, with unusually deep analytics on income and obligations. Not positioned as a spreading or memo product.

Distinct strength: it is the only vendor in this comparison that publishes a limitation on its own headline capability — that fraud outputs are "probabilistic and indicative in nature" and that it "does not warrant or guarantee the completeness, accuracy, or detection of all fraudulent activities". Treat that as a credibility signal.

Not published: bank or format coverage count.

3. Digitap.AI — API-first, AA-native, UPI-aware

Publishes a Bank Statement Analyzer API accepting "Net banking", "PDF Upload" and "Account Aggregators", as a "Sahamati certified TSP, working with major AAs", with "Categorization of UPI transactions", "Best-in-class salary detection", "Custom Scorecards", an "Enhanced Fraud & Tamper detection module for PDF frauds" and output as "Report in various forms (Excel, PDF, JSON, XML)" (Digitap). Corporate claim: "500+ Clients".

Ladder position: steps 1-2 with scorecard output on top.

Distinct strength: the explicit UPI categorisation claim. For thin-file digital lending where UPI is most of the statement, that is the capability that decides output quality — and it is the rail most parsers handle worst.

Not published: coverage counts, accuracy, processing time.

4. Signzy — the add-on if you already run it

Bank statement analysis sits under a "Credit" category inside a wider identity and compliance platform ("1B+ Users Verified", "500+ Global Companies"). The product page is framed for the US but states it accepts "bank statement PDFs of all banks recognised by the RBI", fetches "through netbanking or Account Aggregator API", segments transactions "into categories such as rent, food, loans", supports "Multi Bank Statement consolidated Analysis" and returns a "BSA Scorecard PDF", with an "Average response time is less than 3s" (Signzy). Noted neutrally: the same page says "over 500 data points" in one place and "1,000+ data points" in its FAQ, and Signzy's India stack page lists "KYC, KYB, vehicle RC checks, and more" without naming bank statement analysis.

Ladder position: steps 1-2 plus a scorecard.

Distinct strength: contract and integration consolidation if Signzy is already your KYC/KYB vendor.

5. Precisa — cross-verification and forensics

Publishes "1000+ Clients", "25+ Countries", "850+ Banks", "1200+ Bank Formats", "1500,000+ Bank Statement" and "51,00,00,000+ Transaction", with products spanning Bank Statement Analysis, GSTR Analysis, Credit Report Analysis, AML Analysis, Account Aggregator Integration and Forensic Investigation, and "ML driven irregularities discovery, comprehensive categorisation of bank transactions & counterparty detection" (Precisa).

Ladder position: steps 1-2 with credit report analysis alongside, which touches step 5. Spreading and memo generation are not published.

Distinct strength: the forensic and AML framing. If your losses come from fabricated statements and circular transactions rather than from genuine credit deterioration, this bundle is aimed at your problem.

6. Finezza — the platform answer, not the analyser answer

Publishes a low-code Loan Origination System, a no-code Loan Management System, Collection & Delinquency Management and Reporting & Analytics for "Banks NBFCs Fintech Companies", with integrations to CIBIL, CRIF, Experian and Equifax, and "ICICI, IDFC, and 15+ major banks" (Finezza).

Ladder position: not published as a statement-analysis depth story; Finezza's story is workflow.

Distinct strength: if you are running origination on spreadsheets and email, an LOS and LMS will do more for your turnaround than any analyser will. Recommending a competitor's LOS over our own analyser is the honest call in that situation.

7. Decentro — adjacent, not a substitute

Publishes payments and banking infrastructure (Global Payment Collection, Ledgers, Multi-Currency Accounts, Escrow, Virtual Accounts, UPI, Payouts), a "Fabric" identity stack (KYC & Onboarding), a Credit Bureau API, and "Bytes", which aggregates "financial data instantly, combining credit reports and KYC records". Scale claims: "$5 Billion Processed Annually", "240 Million+ API Transactions", "Trusted by 2000+ businesses globally" (Decentro).

Ladder position: none of the six steps, on Decentro's own product descriptions. It does not name a bank statement analysis product.

Honest reading: Decentro appears on Perfios-alternatives lists — including its own — but the overlap with Perfios is in KYC, bureau access and account verification, not in statement analysis. It is a good adjacent purchase and a poor substitute.

8. YuSight — the depth-after-parsing answer

Publishes 95.2% extraction accuracy validated against a manual benchmark, ~30 minutes to a first-draft CAM, 100% of figures cited with one-click source verification, 1 Mn documents processed and 10 Mn credit journeys, across Document Intelligence, Financial Spreading, Repayment Tracker (bank statement versus bureau), Bank Statement Analyzer, Bureau Analyzer and custom analyzers, with India and UAE coverage including AECB and CBRB bureau data, VAT returns and trade licences.

Ladder position: all six steps in one platform with one audit trail. Documents are mapped to the right borrower entity in multi-entity structures, financials are spread and ratio-tested, the statement is reconciled against the bureau, and the CAM is generated with every figure traceable to a source page and a full version history.

Where it is not the answer: if your problem is that a specific bank's PDF will not parse, Perfios' published coverage is wider and that is the purchase to make. YuSight's claim is scope, not parsing supremacy.

Not published: pricing; a format coverage count; an independently audited accuracy benchmark.

Comparison on the depth ladder

All from vendor sites, retrieved 27 August 2026. "Not published" means the vendor does not state it.

Where the analyst hours actually go

The case for depth is an arithmetic case, not a philosophical one. Here it is, on illustrative but conventional assumptions.

Setting: an NBFC underwriting 1,200 MSME files a year, secured and unsecured working capital.

Hours per file, fully manual Statement collection, parsing, categorising 3.5 Spreading ITR / audited financials, 3 years 4.0 Reading and reconciling the bureau report 1.5 Drafting and citing the memo 5.0 Total 14.0 Hours per file with a bank statement analyser only Statement work 0.4 Spreading (unchanged) 4.0 Bureau (unchanged) 1.5 Memo (unchanged) 5.0 Total 10.9 Hours per file with an end-to-end platform Statement work 0.4 Spreading, analyst reviewing an extracted spread 1.2 Bureau reconciliation, analyst reviewing exceptions 0.6 Memo review and edit rather than drafting 1.7 Total 3.9

Annualised:

Saved with a statement analyser only 1,200 x (14.0 - 10.9) = 1,200 x 3.1 = 3,720 hours Saved with an end-to-end platform 1,200 x (14.0 - 3.9) = 1,200 x 10.1 = 12,120 hours Difference = 8,400 hours At 1,800 productive analyst-hours per year 8,400 / 1,800 = 4.67 analyst-equivalents

The reading. A statement analyser removes 22% of the work. Steps 3 to 6 are the other 78%, and they are where an alternatives decision should be made if parsing is already adequate. This is why Perfios' CAM product — not its bank statement analyser — is the fair comparison for a lender whose bottleneck is downstream. Change any of these assumptions and the ratio moves; the point is the shape, not the specific hours.

When to choose each

• Stay with Perfios if format coverage is your binding constraint, if you operate in several countries, or if you need the vendor a credit committee already recognises. It is the market leader in India for bank statement analysis and publishes the widest coverage of anyone in this comparison. Also stay with Perfios if you already run its CAM product and it fits — switching costs are real and the depth argument below does not apply to you.
• ScoreMe if you want bank statements, financial statements, GSTR, ITR and 26AS, bureau and legal data from one vendor, and if physical paper statements are still part of your intake.
• FinBox BankConnect if fraud and income detection on retail and MSME digital lending is the problem, and you value a vendor that publishes what it cannot guarantee.
• Digitap.AI if you are API-first on Account Aggregator rails with UPI-dominated statements and want custom scorecards rather than a workbench.
• Signzy if it is already your KYC and KYB vendor and one contract beats a marginal feature difference.
• Precisa if fabricated statements and circular transactions are your loss driver and you want forensics, GSTR and AML in the same tool.
• Finezza if you do not have a modern LOS and LMS. That is a bigger problem than statement analysis, and a better first purchase.
• Decentro for payments, escrow, collections rails and KYC — not as a statement-analysis substitute.
• YuSight if your analysts already receive clean categorised transactions and still spend days on the spread, the ratios, the bureau reconciliation and the memo — and if your examiners want to click a figure and see the page it came from.

For the underlying analytical craft, see the complete guide to bank statement analysis. For the broader India vendor field including coverage and accuracy claims, see best bank statement analyser in India. For what the end artefact has to contain, see what a credit assessment memo is and the CAM format Indian banks use.

FAQ

What are the best alternatives to Perfios?

It depends on why you are leaving. For fraud depth, FinBox. For document breadth beyond statements, ScoreMe. For AA-native APIs and UPI handling, Digitap. For forensics and cross-verification, Precisa. For spreading, ratios, bureau reconciliation and a cited memo in one platform, YuSight. For pure format coverage, nothing here beats Perfios.

Does Perfios generate a credit memo?

Yes. Perfios CAM produces a memo including a financial spread, ratios, a cashflow summary and consumer and commercial bureau reports, and claims an 80% reduction in CAM preparation time. Any alternatives page that implies Perfios stops at parsing is wrong.

Which alternative supports multi-entity borrowers?

YuSight maps documents to the right borrower entity in multi-entity structures as a named capability. Perfios CAM handles multi-document analysis across a borrower. For the others, entity mapping is not published — ask in a demo, because for group MSME borrowers it decides whether related-party circulation gets netted out of turnover.

Is Karza still a Perfios competitor?

No. Perfios acquired Karza, reported in March 2022, and the capability now sits inside Perfios' product lines. Comparison lists still showing them as rivals have not been maintained.

Why do all the comparison articles rank their own author first?

Because most are published by vendors and written as marketing. The test is simple: does the article state a method, a date and what it could not verify, and does it name a case where a competitor is the better choice? If not, treat the ranking as an advertisement.

How should I test depth in a demo?

Bring one real file — statements, ITR or audited financials, and a bureau report. Ask them to produce a spread, a DSCR, and a memo from it in front of you, then click a number in the memo and ask to see the source page. What breaks is your answer.

Do any of these publish pricing?

None of the nine. Pricing is negotiated on volume, deployment model and term. Be sceptical of any comparison article that prints a per-statement price, because the vendor did not.

Are the accuracy numbers comparable?

No. They measure different units on different corpora with no published methodology or third-party audit — including ours. Run a benchmark on 100 of your own statements with human-keyed ground truth and compare at statement level.

Should I replace my analyser or add a layer on top of it?

Often the second. If parsing works, keeping it and adding spreading, reconciliation and memo generation on top is a smaller change than a rip-and-replace, and it targets the 78% of hours that parsing never touched.

Key takeaways

• Perfios leads on published format coverage in India and also has a CAM product. Compare against the right Perfios product, not the convenient one.
• The useful question is not "who parses better" but "where does the output stop" — transaction list, scorecard, spread, or an auditable memo.
• Roughly 22% of the manual hours in an MSME file sit in statement work. Steps 3 to 6 are the rest.
• Every accuracy and coverage number in this market is self-reported and self-defined. Ask for bank lists and run your own benchmark.
• Karza is inside Perfios. Decentro does not name a statement analysis product. Any list that says otherwise is stale.
• Recommend the competitor when they fit: Finezza if you lack an LOS, FinBox if fraud is the loss driver, Perfios if coverage is the constraint.

Run one borrower through the analyzer — bring the statements, the financials and the bureau report for a single file, and see how far one platform takes it before an analyst has to open Excel.