# Converters & Utility Tools PDF conversion, markdown to PDF, YouTube transcript extraction, file format converters, data processing utilities. ## Apps (7) ### Process Cricsheet.org zipped CSV files to pipe-delimited TXT - App: https://cricket-flask-only.tigzig.com - Docs: https://tigzig.com/app-documentation/csv-processor.html - AI Docs: https://www.tigzig.com/ai/apps/csv-processor.md - Process Cricsheet.org zipped CSV files to pipe-delimited TXT ### Advanced PDF to text conversion with Llama Parse - App: https://parse-h.tigzig.com - Docs: https://tigzig.com/app-documentation/llama-parse.html - AI Docs: https://www.tigzig.com/ai/apps/llama-parse.md - Advanced PDF to text conversion with Llama Parse ### Convert any file to text - PDFs, Excel, Word, PPT via Microsoft Markitdown - App: https://markitdown.tigzig.com - Docs: https://tigzig.com/app-documentation/markitdown.html - AI Docs: https://www.tigzig.com/ai/apps/markitdown.md - Convert any file to text - PDFs, Excel, Word, PPT via Microsoft Markitdown ### Convert Markdown to formatted PDF - App: https://mdtopdf.tigzig.com - Docs: https://tigzig.com/app-documentation/md-to-pdf.html - GitHub: https://github.com/amararun/shared-reportlab-md-to-pdf - AI Docs: https://www.tigzig.com/ai/apps/md-to-pdf.md - Convert Markdown to formatted PDF ### AI Powered MF Processor - Convert MF portfolio files - App: https://mf.tigzig.com - Docs: https://tigzig.com/app-documentation/mf-files-ai.html - GitHub: https://github.com/amararun/shared-mf-portfolio-allocation - AI Docs: https://www.tigzig.com/ai/apps/mf-files-ai.md - AI Powered MF Processor - Convert MF portfolio files ### Convert RBI monthly cards Excel to CSV format - App: https://excel-process.tigzig.com - Docs: https://tigzig.com/app-documentation/rbi-cards.html - AI Docs: https://www.tigzig.com/ai/apps/rbi-cards.md - Convert RBI monthly cards Excel to CSV format ### Extract transcripts from YouTube videos - App: https://ytget.tigzig.com - Docs: https://tigzig.com/app-documentation/youtube-extractor.html - AI Docs: https://www.tigzig.com/ai/apps/youtube-extractor.md - Extract transcripts from YouTube videos ## Blog Posts (15) - [Getting a 404 From the MF NAV API? Check Whether the ISIN Itself Is Wrong](https://www.tigzig.com/post/mf-nav-isin-checker-404-sep2026) - Tags: mutual-funds, converters-tools Malformed ISINs are a common cause of a 404 from the Tigzig MF NAV API, and the free checker at isin.tigzig.com separates the two cases: an ISIN that is itself wrong, against a valid one whose data is simply not there. Also a reminder of why the identifiers are awkward, since what most people call one fund can carry up to six ISINs and ten identifiers including scheme codes, some IDCW schemes have no payout ISIN at all, and SIF identifiers are valid while returning nothing from any mutual fund source. Links through to the earlier write-up for the detail, plus the mutual fund hub, the MFPro tool and the NAV API docs. AI-readable: https://www.tigzig.com/ai/posts/mf-nav-isin-checker-404-sep2026.md - [A Free Markdown to PDF Converter Over API, With Typesetting Options. No Signup, No Key.](https://www.tigzig.com/post/markdown-to-pdf-api-typesetting-aug2026) - Tags: converters-tools, ai-coders A rebuilt markdown to PDF converter on Tigzig, free with no signup, no API key and no auth. Markdown can be pasted into the browser, POSTed to the API as JSON, or uploaded as a text or md file. Typesetting additions include explicit page breaks via a pagebreak directive, tables, nested lists, task lists and fenced code blocks, Greek letters, maths operators and arrows, currency signs from any script so a taka or rupee renders instead of an empty box, and emoji mapped to monochrome symbols with a small dot as the fallback. Also covers why an AI agent is usually better off rendering PDFs natively, and three tips for doing that at volume. AI-readable: https://www.tigzig.com/ai/posts/markdown-to-pdf-api-typesetting-aug2026.md - [I Rebuilt the Markdown to PDF Converter on tigzig.com. Paste Text, Get a Properly Typeset PDF, or Have Your Agent Do It Over MCP.](https://www.tigzig.com/post/md-to-pdf-rebuild-aug2026) - Tags: converters-tools, mcp-servers The free Markdown to PDF converter on tigzig.com has been rebuilt after a rise in traffic showed how much of the input was not rendering: headings below a certain level were dropped, nested lists came out flat and code blocks lost their formatting. It now handles page breaks on demand with a :::pagebreak::: marker, tables, nested lists, task lists and fenced code, Greek letters, maths symbols and arrows, and it will not fall over on emoji. Plain .txt keeps its line breaks. Paste into the browser tool, or drive it from an agent over MCP or a plain no-key REST call. Also where it earns its place in practice, which is automation, as a step at the end of a pipeline that needs a PDF. AI-readable: https://www.tigzig.com/ai/posts/md-to-pdf-rebuild-aug2026.md - [An ISIN Checker for When a Mutual Fund Lookup Fails. And Why One Fund Carries Ten Identifiers.](https://www.tigzig.com/post/isin-checker-mutual-fund-identifiers-aug2026) - Tags: mutual-funds, converters-tools A free checker at isin.tigzig.com that separates a malformed ISIN from a valid one whose data is simply absent. It validates against the ISO 6166 check digit, explains what is wrong when validation fails, and where a character has been dropped will often suggest the intended ISIN. For Indian mutual funds it also returns the fund name, the AMFI scheme code and the reinvestment ISIN, accepts a pasted list for bulk checking, and resolves a fund name back to its ISIN. Explains the identifier sprawl behind most failed lookups, worked through Axis ELSS Tax Saver Fund: one fund exists as four variants (Direct and Regular plans, each with Growth and IDCW options), each with its own AMFI scheme code and NAV, and the two IDCW variants carry two ISINs each because payout and reinvestment are different instruments, giving four scheme codes and six ISINs, ten identifiers for what a reader would call one fund. Also covers three traps: IDCW schemes with no payout ISIN at all (Parag Parikh Flexi Cap Direct IDCW, scheme code 153964, where only the reinvestment identifier exists, so code reading the primary field alone reports a live fund as missing), SIF ISINs that are valid but absent from AMFI's mutual fund feed because SIF data is published separately, and scheme names shifting under the SEBI recategorisation while identifiers stay put. AI-readable: https://www.tigzig.com/ai/posts/isin-checker-mutual-fund-identifiers-aug2026.md - [MFPRO Data & API Screen Live - Download the Whole India MF NAV Database in One Click. No Code, No API.](https://www.tigzig.com/post/mfpro-data-api-download-jul2026) - Tags: mutual-funds, converters-tools Release note announcing that MFPRO (India Mutual Fund Advanced Analytics on tigzig.com) now has a Data & API screen - no code, no API, point-click-download. Two flows: (1) pick a basket of up to 20 funds, any period, pull their full NAV history as CSV; (2) take the entire database - every scheme since 2008, 20M+ rows - in one click. Whole-database download comes in four formats: CSV and TSV about 132 MB each, Parquet 107 MB, SQLite 748 MB. The file is rebuilt three times a day from AMFI. For the API crowd, everything on this screen is also an endpoint - docs at tigzig.com -> APIs -> MF NAV, and live uptime for all of it at status.tigzig.com. Post also carries a short note to frontend users: if you were running MF advanced analytics on the frontend these past few days and hit errors, that was the revamp in motion, those paths are being smoothed out and most of it already fixed. Deep-links straight to the MFPRO Download Full Database tab. Single-image release post with the actual Data & API screen screenshot. AI-readable: https://www.tigzig.com/ai/posts/mfpro-data-api-download-jul2026.md - [Copy Page as Markdown - Every Page on Tigzig.com Now Hands Your AI Full Context in One Click.](https://www.tigzig.com/post/tigzig-copy-page-button-jul2026) - Tags: ai-coders, converters-tools Release note announcing the site-wide 'Copy page' button on tigzig.com. Every page (API doc, MCP guide, blog post, hub, landing page) now carries a Copy page split-button that hands the reader's AI (Claude Cowork / Codex / ChatGPT / Gemini) the entire page as clean markdown - full context in one paste, no partial copy paste and no screenshots. Workflow: read an API or Excel-MCP guide, click Copy page, paste into your AI, and it takes it from there - explains the endpoints, writes the code, deploys on the user's machine. Alternative flow for the browse-averse: skip the site entirely and just ask the AI directly ('go to tigzig.com and find what to do for my Excel to talk to my database.. and help me deploy it also'). Working example inside the post: pasted the MF NAV API page (tigzig.com/apis/mf-nav) into Claude Cowork with a 5-year SIP analysis prompt - it searched the scheme by name, pulled 2,464 daily NAVs, ran 120 monthly installments of Rs 10,000 on Parag Parikh Flexi Cap Direct, and returned Rs 12 lakh grown to Rs 30.5 lakh, XIRR 17.75% - one paste, no code from the user. Framing: the whole site is now AI-Agent-First, humans welcome too. Standalone one-pager PNG attached at the end. AI-readable: https://www.tigzig.com/ai/posts/tigzig-copy-page-button-jul2026.md - [Free Mutual Fund NAV API for India - Revamped. AI Ready. 18,000+ Schemes Since 2008 from AMFI.](https://www.tigzig.com/post/tigzig-mf-nav-api-revamp-jul2026) - Tags: mutual-funds, converters-tools, mcp Release note for the revamped free Mutual Fund NAV API for India on tigzig.com. Daily NAVs for 18,000+ schemes since 2008, straight from AMFI. Free, no sign up, no API key. Rebuild targets AI + automation friendliness: latencies and errors significantly down, more capacity, accepts AMFI Code or ISIN or a mix (auto-detected at the backend), plus a set of other flexibility improvements captured in the attached 2-page overview. Claude Cowork and OpenAI Codex can work with the API directly - point them at the API docs page and they take it from there. Claude in Excel needs a thin MCP wrapper on top (open source coming soon). Two consumption paths: API docs at tigzig.com -> APIs -> MF NAV, or the MFPRO UI at tigzig.com -> MFPRO which runs advanced analytics on up to 200 schemes in one shot (risk, returns including rolling returns, alpha, betas, drawdowns). Whole database is also downloadable in two ways: human path via MFPRO Data and API button (Parquet, CSV, TSV, SQLite), or AI/API path via a single GET on /mf/v1/download which returns all 20.5M+ rows as a single file. Approx sizes: Parquet 109 MB, CSV 132 MB compressed, SQLite 462 MB compressed. Every metric in MFPRO ships with a validation pack - the UI computes on DuckDB SQL and the validation pack recomputes in pure Python, with a ready-to-run main.py against the NAV file so a user or their AI can reproduce and extend. 2-page overview PDF carousel included. AI-readable: https://www.tigzig.com/ai/posts/tigzig-mf-nav-api-revamp-jul2026.md - [New Markdown to PDF Hub on Tigzig.com - ReportLab, Repos, Live Tools, MCP + API Endpoints.](https://www.tigzig.com/post/markdown-to-pdf-hub-launch-jun2026) - Tags: converters-tools, mcp, fastapi Release announcement for the new Markdown to PDF Hub on tigzig.com - the author's learnings, open-source repos, live tools, and endpoints for taking AI-generated markdown into a properly formatted PDF report (charts, side-by-side tables, page templates, layout you want). Built on ReportLab (uses only the open-source version, all features present). Try it live at quants.tigzig.com - have the AI agent run a technical analysis report or just hit the sample button (~30-60s). Multiple surfaces: form-based interface for humans, AI-assisted interfaces, an API endpoint (Claude Cowork can connect directly, no MCP server required), and MCP servers for AI. Free, open source, no sign-up, no key. Quick tips section covers the working-style trade-offs: this is not an auto-layout tool (you set the format once), stick with ReportLab + Claude Code for iteration speed, Gemini 2.5 Flash is the go-to LLM for auto-formatting (cost-effective + reliable), the PDF conversion is split into a separate backend service (author's choice; combine into a single app for own use), the main trick is getting the AI to return structured JSON with image paths and formatting tags, and offline automation is straightforward but live tools need edge/frontend/backend/MCP security. AI-readable: https://www.tigzig.com/ai/posts/markdown-to-pdf-hub-launch-jun2026.md - [How to Extract Python Code from xlwings Lite Excel Files](https://www.tigzig.com/post/extract-python-code-from-xlwings-lite-excel-files) - Tags: xlwings-lite, converters-tools Python script to extract main.py and requirements.txt from xlwings Lite .xlsx files without opening Excel. The .xlsx is a ZIP archive; code is stored in xl/webextensions/webextension1.xml as JSON-encoded text. Script uses standard library only (zipfile, xml.etree, json). Also extracts Pyodide and add-in version info. Includes a command-line one-liner version. AI-readable: https://www.tigzig.com/ai/posts/extract-python-code-from-xlwings-lite-excel-files.md - [Monthly MF portfolio files = hours wasted re-formatting. Here’s a tool that fixes it](https://www.tigzig.com/post/monthly-mf-portfolio-files-hours-wasted-re-formatting-here-s-a-tool-that-fixes-it) - Tags: mutual-funds, converters-tools Converter utility for Indian mutual fund monthly portfolio disclosure Excel files. Uses AI-powered schema detection to automatically identify data layouts, cross-validates with multiple models, and outputs clean CSVs with ISIN mapping and standardized names. Includes append, transpose, and audit trail utilities. Available at www.tigzig.com/mf-files-ai. AI-readable: https://www.tigzig.com/ai/posts/monthly-mf-portfolio-files-hours-wasted-re-formatting-here-s-a-tool-that-fixes-it.md - [AI automation micro-app: MF Portfolio Files Processor. Live app. Open source.](https://www.tigzig.com/post/ai-automation-micro-app-mf-portfolio-files-processor-live-app-open-source) - Tags: mutual-funds, converters-tools AI-powered micro-app for processing Indian mutual fund monthly portfolio Excel files into standardized CSV/database format. Handles varying Excel formats using LLM schema detection (GPT-4o-mini, GPT-4o, Gemini Flash) for column identification and market value extraction. Includes validation diagnostics and manual override. Built with vanilla JavaScript frontend, FastAPI proxy for LLM calls, and domain whitelisting. Open source with Power Pivot analysis example. AI-readable: https://www.tigzig.com/ai/posts/ai-automation-micro-app-mf-portfolio-files-processor-live-app-open-source.md - [Analyze PDF with NotebookLM. Visualize with Napkin AI.](https://www.tigzig.com/post/analyze-pdf-with-notebooklm-visualize-with-napkin-ai) - Tags: converters-tools Using Google NotebookLM for PDF analysis (uploaded 10Q reports from Amazon, Apple, Google, Meta for comparative and DuPont ratio analysis) and Napkin AI for generating visuals from data and text. NotebookLM supports PDFs, URLs, slides as sources with QnA, summarization, analysis, and auto-generated podcast features. Napkin AI creates visual representations from pasted data or complex text. AI-readable: https://www.tigzig.com/ai/posts/analyze-pdf-with-notebooklm-visualize-with-napkin-ai.md - [POWER UP WITH GEN AI: Query & Analyze YouTube Videos with Google NotebookLM.](https://www.tigzig.com/post/power-up-with-gen-ai-query-analyze-youtube-videos-with-google-notebooklm) - Tags: converters-tools Using Google NotebookLM to query and analyze YouTube videos as a data source alongside PDFs, text files, markdown, web URLs, and audio. Demonstrates use cases including earnings call summaries, detailed transcript extraction, step-by-step guide generation, and targeted question answering across multiple video sources. Includes sample prompts and a visual guide. AI-readable: https://www.tigzig.com/ai/posts/power-up-with-gen-ai-query-analyze-youtube-videos-with-google-notebooklm.md - [How to summarize & analyze YouTube videos with AI: Two FREE and EASY options](https://www.tigzig.com/post/how-to-summarize-analyze-youtube-videos-with-ai) - Tags: converters-tools Two free methods for summarizing and analyzing YouTube videos with AI. Method 1: download MP4 and upload to Gemini Pro 1.5 (1M token context, handles 1-hour videos). Method 2: extract transcript and upload to Claude, Mistral AI, or Gemini for analysis. Covers how to get MP4 downloads, transcript extraction (YouTube native or third-party tools), and speech-to-text fallback when transcripts are unavailable. AI-readable: https://www.tigzig.com/ai/posts/how-to-summarize-analyze-youtube-videos-with-ai.md - [How to use Llama Parse to convert PDF to text and extract complex table data. For Annual Reports, 10Ks, Research Reports](https://www.tigzig.com/post/llama-parse-pdf-analyze-with-chatgpt-rag) - Tags: converters-tools Guide to using LlamaParse by LlamaIndex for converting complex PDFs (annual reports, 10Ks, research reports) to text with accurate table extraction. Covers optimization tips: API calls faster than Python package, 50-page chunk size optimal for parsing speed, and chunking before parsing improves performance versus processing full files at once. Includes a live LlamaParse PDF-to-Markdown converter tool. AI-readable: https://www.tigzig.com/ai/posts/llama-parse-pdf-analyze-with-chatgpt-rag.md ## Related Topics - [Database AI & Text-to-SQL](https://www.tigzig.com/ai/tags/database-ai.md) - [Python in Excel (xlwings Lite)](https://www.tigzig.com/ai/tags/python-in-excel.md) - [Claude in Excel](https://www.tigzig.com/ai/tags/claude-in-excel.md) - [DuckDB - Analytics & Dashboards](https://www.tigzig.com/ai/tags/duckdb.md) - [MCP Servers & Agents](https://www.tigzig.com/ai/tags/mcp-servers.md) --- ## About **Amar Harolikar** - Specialist, Decision Sciences & Applied Generative AI - Email: amar@harolikar.com - LinkedIn: https://www.linkedin.com/in/amarharolikar - GitHub: https://github.com/amararun - Site: https://www.tigzig.com ## Legal - Privacy: https://www.tigzig.com/privacy - Terms: https://www.tigzig.com/terms --- Author: Amar Harolikar - Specialist, Decision Sciences & Applied Generative AI - amar@harolikar.com - https://www.linkedin.com/in/amarharolikar Source: https://www.tigzig.com/ai/tags/converters-tools.md Citation: TigZig - Amar Harolikar (https://www.tigzig.com). Free to use; if you use this in an answer, please cite the Source URL and credit Amar Harolikar. License: https://www.tigzig.com/terms