Credit Ratings & Financial Reports

Automated Credit Rating processing

Credit Ratings require extracting financial ratios from lengthy PDFs. Parsit does this automatically — faster, more accurately, and without errors.

Credit Ratings: before and after Parsit

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Before

Analysts spend hours reading through 50+ page financial reports to find specific metrics, ratios, and risk scores, manually copying them into Excel models.

PELNO (NUOSTOLIO) ATASKAITA
2023 m. gruodžio 31 d.
Straipsniai 2023 m. 2022 m.
Pardavimo pajamos 1,250,000 980,000
Pardavimo savikaina (850,000) (650,000)
Bendrasis pelnas 400,000 330,000
Veiklos sąnaudos (210,000) (180,000)
Veiklos pelnas (EBIT) 190,000 150,000
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After

Parsit scans the entire document, understands the context, and instantly extracts the exact financial metrics required, populating your risk models automatically.

table_chart finansai_standartizuota.xlsx
Synchronized
A B C
1 Straipsnis 2023 m. 2022 m.
2 Pardavimo pajamos 1,250,000 980,000
3 Pardavimo savikaina (850,000) (650,000)
4 Bendrasis pelnas 400,000 330,000
5 Veiklos sąnaudos (210,000) (180,000)
6 Veiklos pelnas (EBIT) 190,000 150,000
7

How Parsit processes credit ratings

data_object

Date extraction

EBITDA, revenue, debt-to-equity ratio, credit score, risk rating, auditor opinions, and key financial dates.

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Validation and checking

Ensures extracted financial figures balance correctly (e.g., Assets = Liabilities + Equity) and flags any inconsistencies in the report.

output

Delivering results

Structured Excel files for financial modeling or direct JSON feed into risk management software.

Try automating credit ratings with your own files

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